In data set stackloss, develop a 95% prediction interval of the stack loss if the air flow Found inside – Page 692Using the regression equation As was the case with simple linear regression, we can use the multiple regression equation in two ways: we can produce the prediction interval for a particular value of y, and we can produce the confidence ... To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Found inside – Page iAll chapters have exercises. This book can serve as a standalone text for statistics majors at the master's level and for other quantitatively oriented disciplines at the doctoral level, and as a reference book for researchers. How do you find the prediction interval in Excel? Found insideYour Statistical Consultant is an authentic alternative resource for describing, explaining, and making recommendations regarding thorny or confusing statistical issues. In this section, we are concerned with the prediction interval for a new response ynew when the predictor values are . It sounds silly, but I am having trouble finding a clear algebraic notation of this. n 2 sy s 1 + 1 n (x? Interpreting the regression coefficients table. Cross Validated is a question and answer site for people interested in statistics, machine learning, data analysis, data mining, and data visualization. Excel Details: Confidence Interval Excel Funtion - Formula, Examples, …Excel Details: The confidence interval …, › Url: https://www.how-use-excel.com/excel-formula-for-confidence-interval/ Go Now, Excel Details: Problem 3. variables Air.Flow, Water.Temp and Acid.Conc. Simple linear regression models the relationship between a dependent variable …, › Url: https://www.mavaanalytics.com/post/linear-regression-analysis-in-excel Go Now, Excel Details: Calculating Confidence Interval On Excel. A Prediction interval (PI) is an estimate of an interval in which a future observation will fall, with a certain confidence level, given the observations that were already observed. In this chapter, we’ll describe how to predict outcome for new observations data using R.. You will also learn how to display the confidence intervals and the prediction intervals. Example 2: Test whether the y-intercept is 0. The formula to calculate the prediction interval for a given value x is written as: ŷ +/- t α / 2, df = n – 2 * s.e. x )2 (n 1)s2 x where s is the standard deviation of the residuals. After some more thought, I'm guessing that the prediction interval assumes that $X$ has been normalized, so that $X* = 0$ is the mean. This paper proposes an evolutionary fuzzy neural network (EFNN) for tool wear prediction. mean and constant variance. Prediction interval formula. Is the number 101 being used as adjective? On a related note, the formula for the prediction interval for single linear regression is given in 33433 as, $$s_\text{predictions(new)}=\sqrt{s^2_\text{error}\left(1+\frac{1}{N}+\frac{(x_\text{new}-\bar x)^2}{\sum(x_i-\bar x)^2}\right)}$$. Observation: You can create charts of the confidence interval or prediction interval for a regression model. prediction interval formula. Forecasting is required in many situations. Different tool wear statuses cause material chips to have different colors; thus, the color of a material chip can be a crucial factor in tool wear prediction. A 95% prediction interval should have a 95% chance of including the observed future observation. › Url: https://www.wikihow.com/Run-a-Multiple-Regression-in-Excel Go Now, Excel Details: confidence intervals for the mean of the dependent y and the prediction interval for the dependent y in multiple linear regression models. A prediction interval is a type of confidence interval (CI) used with predictions in regression analysis; it is a range of values that predicts the value of a new observation, based on your existing model. Prediction and confidence intervals are often confused with each other. However, they are not quite the same thing. Understanding linear models is crucial to a broader competence in the practice of statistics. Linear Models with R, Second Edition explains how to use linear models This major reference work provides broad-ranging, validated summaries of the major topics in chemometrics—with chapter introductions and advanced reviews for each area. The Bayesian counterpart is credible interval. Calculate Prediction Interval In Excel. We can be 95% confident that the skin cancer mortality rate at an individual location at 40 degrees north is between 111.235 and 188.933 deaths per 10 million people. Yuan et al. Adaptation by Chi Yau, Frequency Distribution of Qualitative Data, Relative Frequency Distribution of Qualitative Data, Frequency Distribution of Quantitative Data, Relative Frequency Distribution of Quantitative Data, Cumulative Relative Frequency Distribution, Interval Estimate of Population Mean with Known Variance, Interval Estimate of Population Mean with Unknown Variance, Interval Estimate of Population Proportion, Lower Tail Test of Population Mean with Known Variance, Upper Tail Test of Population Mean with Known Variance, Two-Tailed Test of Population Mean with Known Variance, Lower Tail Test of Population Mean with Unknown Variance, Upper Tail Test of Population Mean with Unknown Variance, Two-Tailed Test of Population Mean with Unknown Variance, Type II Error in Lower Tail Test of Population Mean with Known Variance, Type II Error in Upper Tail Test of Population Mean with Known Variance, Type II Error in Two-Tailed Test of Population Mean with Known Variance, Type II Error in Lower Tail Test of Population Mean with Unknown Variance, Type II Error in Upper Tail Test of Population Mean with Unknown Variance, Type II Error in Two-Tailed Test of Population Mean with Unknown Variance, Population Mean Between Two Matched Samples, Population Mean Between Two Independent Samples, Confidence Interval for Linear Regression, Prediction Interval for Linear Regression, Significance Test for Logistic Regression, Bayesian Classification with Gaussian Process, Installing CUDA Toolkit 7.5 on Fedora 21 Linux, Installing CUDA Toolkit 7.5 on Ubuntu 14.04 Linux. On the result section …, › Url: https://gmgolem.wordpress.com/2016/01/17/calculating-prediction-interval-in-multiple-regression-using-mahalanobis-distance/ Go Now, Excel Details: How do you find the prediction interval in Excel? Interpreting the … prediction interval formula regression, › Url: http://cameron.econ.ucdavis.edu/excel/ex61multipleregression.html Go Now, › Get more: Prediction interval formula regressionShow All, Excel Details: How to Construct a Prediction Interval in Excel In statistics, simple linear regression is a technique we can use to quantify the relationship between a … how to calculate prediction interval, › Url: https://www.statology.org/prediction-interval-excel/ Go Now, › Get more: How to calculate prediction intervalShow All, Excel Details: The prediction interval is calculated in a similar way using the prediction standard error of 8.24 (found in cell J12). The smaller the interval, the more confidence in the prediction for a specific data …, › Url: https://www.ablebits.com/office-addins-blog/2019/03/13/excel-forecast-function-formula-examples/ Go Now, Excel Details: Using confidence intervals when prediction intervals are needed As pointed out in the discussion of overfitting in regression, the model assumptions for least …, › Url: https://web.ma.utexas.edu/users/mks/statmistakes/CIvsPI.html Go Now, Excel Details: Excel produces the following Summary Output (rounded to 3 decimal places). model in a new variable stackloss.lm. Prediction intervals for specific predicted values Prediction intervals for specific predicted values A prediction interval for y for a given x? Understand what the scope of the model is in the multiple regression model. Found insideThis is a beginner's guide to applied econometrics using the free statistics software R. It provides and explains R solutions to most of the examples in 'Principles of Econometrics' by Hill, Griffiths, and Lim, fourth edition. If confidence intervals for parameters are desired, click the red triangle in the output next to Response and select Regression Reports Show all Confidence …, › Url: https://www.macmillanlearning.com/studentresources/college/statistics/psbe4e/technology_appendices/moore_4e_ch11_appendix_certified.pdf Go Now, Excel Details: However, the equations for multiple regression are very complex and are not presented here-instead, we compute the values using Minitab. Found insideThe book details how statistics can be understood by developing actual skills to carry out rudimentary work. Examples are drawn from mass communication, speech communication, and communication disorders. ŷ is the predicted value of the response variable. Regression equation. : prediction intervals), Formula for prediction interval for spatial regression. Recall that the formula for a two-sided confidence interval is where is the sample average, s is the sample standard deviation, n is the sample size, 1-a is the desired confidence level, and is the 100(1-a/2) percentile of the student’s t distribution with n-1 … Why do Teledesic satellites look so weird? The formula to calculate the prediction interval for a given value x 0 is written as: ŷ 0 +/- t α/2,df=n-2 * s.e. The main goal of linear regression is to predict an outcome value on the basis of one or multiple predictor variables.. Found inside – Page 618See also Multiple regression actual cost, 356 bivariate data, predicted value, 322–324 diagnostic plot for multiple ... multiple regression prediction equation, 400 multiple regression prediction errors, 400 prediction interval, ... The best answers are voted up and rise to the top, Cross Validated works best with JavaScript enabled, Start here for a quick overview of the site, Detailed answers to any questions you might have, Discuss the workings and policies of this site, Learn more about Stack Overflow the company, Learn more about hiring developers or posting ads with us. Uncertainty of predictions Prediction intervals for specific predicted values Confidence interval for a prediction – in R # calculate a prediction # and a confidence interval for the prediction predict(m , newdata, interval = "prediction") fit lwr upr 99.3512 83.11356 115.5888 Simple Linear Regression Equation. The calculations for the prediction interval are identical except that the standard error (cell Q11) is calculated by the formula =SQRT(P8*(1+MMULT(TRANSPOSE(O19:O22),MMULT(J6:M9,O19:O22)))) Note that the this formula and the one in cell P11 are array formulas, and so you need to press Ctrl-Shft-Enter , … However, we can change this to whatever we’d like using the level command. You can also use the Real Statistics Confidence and Prediction Interval Plots data analysis tool to do this, as described on that webpage. A regression prediction interval is a value range above and below the Y estimate calculated by the regression equation that would contain the actual value of a sample with, for example, 95 percent certainty. Prediction. Found insideThis book, by the author of the very successful Intuitive Biostatistics, addresses this relatively focused need of an extraordinarily broad range of scientists. › Url: https://online.stat.psu.edu/stat462/node/151/ Go Now, Excel Details: A prediction interval is similar in spirit to a confidence interval, except that the prediction interval is designed to cover a “moving target”, the random …, › Url: https://www2.stat.duke.edu/~tjl13/s101/slides/unit6lec3H.pdf Go Now, Excel Details: SPSS and Minitab are capable of calculating and reporting confidence intervals for the mean and for a single outcome. What to do? Create interval estimates and perform hypothesis tests for multiple regression parameters. Further detail of the predict function for linear regression model can be found in the R documentation. The confidence interval for the predicted value of a dependent variable is calculated the same way as the confidence interval for regression coefficients. Thus life expectancy of men who smoke 20 … prediction interval in excel, › Url: https://www.real-statistics.com/regression/confidence-and-prediction-intervals/ Go Now, › Get more: Prediction interval in excelShow All, Excel Details: Prediction with Regression in Excel Regression can provide numerical estimates of the relationships between multiple predictors and an outcome. Linear regression attempts to model the linear relationship …, › Url: https://www.analystsoft.com/en/products/statplus/content/help/analysis_regression_multiple_linear_least_squares.html Go Now, Excel Details: What I'm looking for is a formula to determine prediction intervals around the predicted coefficient so that we can say that if the sales figure does not fit in a …, › Url: https://elsmar.com/elsmarqualityforum/threads/prediction-intervals-for-quadratic-regression.51183/ Go Now, Excel Details: Construct and interpret linear regression models with more than one predictor. Excel Details: Excel is a great option for running multiple regressions when a user doesn't have access to advanced statistical software. ... A prediction interval for predicting a new response for a given set of values of the predictors x 1, x 2, ... while the formula for the confidence interval is not so dependent on this condition for large samples. It …, › Url: https://statisticsbyjim.com/regression/regression-analysis-excel/ Go Now, Excel Details: If you like the video and want to learn more about using excel to do data analysis, please check out the playlist " Business Statistic with Excel" and subscr, › Url: https://www.youtube.com/watch?v=_ZgWScL3F-A Go Now, Excel Details: In your Excel worksheet, enter two data series into adjacent columns: Time series - date or time entries that are observed sequentially at a regular interval like …, › Url: https://www.ablebits.com/office-addins-blog/2019/03/20/forecast-excel-linear-exponential-smoothing-forecasting-models/ Go Now, Excel Details: Microsoft Excel's regression limits to linear regression analysis however one can try to fit with one independent variable or multiple independent variables. By default, R uses a 95% prediction interval. independent of xk (k = 1, 2, ..., p), and is normally distributed, with zero site design / logo © 2021 Stack Exchange Inc; user contributions licensed under cc by-sa. The confidence and prediction intervals after multiple linear regression. In this Statistics 101 video we calculate prediction interval bands in regression. McClave/MyStatLab 12.4.33 View HW2.pdf from MATH 30710 at University of Notre Dame. However,we do not have access to the precise values for income. Prediction level: If we repeat the study of obtaining a regression data set many times, each time forming a XX% prediction interval at x?, and wait to see what the future value of y is at x?, then roughly XX% of the prediction intervals will contain the corresponding actual value of y. How do we evaluate a model? Why might one of these decoupling capacitor schematics also include an inductor and the other not? Excel Details: The prediction interval is calculated in a similar way, except that now the variance is the variance of the residual y − ŷ, which is The 1 – α prediction interval of … prediction interval for regression, › Url: https://www.real-statistics.com/multiple-regression/confidence-and-prediction-intervals/ Go Now, › Get more: Prediction interval for regressionShow All, Excel Details: Details: Regression In Excel A prediction interval is a confidence interval about a Y value that is estimated from a regression equation. In this study, the cutting time and … Answer. The formula for a prediction interval about an estimated Y value (a Y value calculated from the regression equation) is found by the following formula: Prediction Interval = Y est ± t-Value α/2 * Prediction Error Prediction Error = Standard Error of the Regression * SQRT (1 + distance value) In the machine learning domain, confidence intervals are generally built with quantile regression. Further detail of the predict function for linear regression model can be found in the R documentation. Your calculations indicate 50 observations, but I have only been able to input 49. Is witch the equivalent of the warlock of D&D (lorewise)? Excel Details: Regression In Excel A prediction interval is a confidence interval about a Y value that is estimated from a regression equation. We now apply the predict function and set the predictor variable in the newdata Interpreting the ANOVA table (often this is skipped). How to find a confidence interval for a prediction from a multiple regression using StatCrunch. Praise for the First Edition ". . . provides a very thorough treatment of regression approaches, including techniques not covered in many books . . ." —Technometrics ". . . an excellent book . . . worthwhile for anyone who uses regression ... We now start the discussion of using the least squares simple linear regression model for the purpose of statistical inference about the parent population from which the sample was drawn. This lesson extends the methods from Lesson 4 to the context of multiple linear regression. How to find a confidence interval for a prediction from a multiple regression using StatCrunch. The process is fast and easy to learn. Here's a function to take a model, new data, and an arbitrary … IMDB Movie Data "(opens in new window)" …, › Url: https://maghfirah.blufour.com/parasyte-part-uia/1af2f7-multiple-regression-prediction-interval-statcrunch Go Now, Excel Details: (one per student) and 4 colums (one per year). The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. The fitted equation is: In simple linear regression, which includes only one predictor, the model is: y = ß 0 + ß 1x 1 + ε. Assume that the error term ϵ in the multiple linear regression (MLR) model is independent of xk ( k = 1, 2, ..., p ), and is normally distributed, with zero mean and constant variance. Interv. An approximate 95% prediction interval of scores has been constructed by taking the "middle 95%" of the predictions, that is, the interval from the 2.5th percentile to the 97.5th percentile of the predictions. Found inside – Page 265We also calculated prediction intervals for predicting the y-value corresponding to new observations of the x-values with Equation (8.3). We can do the same for multiple regression. We calculate a confidence interval for the mean ... Excel Details: 6.6 - Prediction Interval for a New Response. Along the top ribbon in Excel, go to the Data tab and click on Data Analysis. a range of values that is likely to contain either a future occurrence of an event or the value of an additional data sample. The book presents several case studies motivated by some historical Bayesian studies and the authors’ research. This text reflects modern Bayesian statistical practice. "Comprising more than 500 entries, the Encyclopedia of Research Design explains how to make decisions about research design, undertake research projects in an ethical manner, interpret and draw valid inferences from data, and evaluate ... Prediction Interval : level (1−α)% n-2 df yˆ(x∗)±t 1 −α/ 2,n SE yˆ(x∗) Claim: 95% of the time , Pred. Thanks so much for your work. Linear regression equation. confidence level. We estimated the joint prediction of the 15 GPS (multi-GPS heritability) in a penalised regression elastic net model (Zou & Hastie, 2005) with hold-out evaluation of prediction accuracy. The calculation for prediction interval in MLR is given in 9131 as, $$\hat{y} \pm t \hat{\sigma} \sqrt{1 + \mathbf{X}^* (\mathbf{X}'\mathbf{X})^{-1} (\mathbf{X}^*)'}.$$. Page 185Column L depicts the calculation and interpretation of R 2 in a new frame... The major topics in chemometrics—with chapter introductions and advanced reviews for each area observed... Each individual Observation decisions interpretable identical to the data tab and click on data analysis that not.: regression in Excel of practical problems in water quality and water.. Details: Excel is a confidence interval emphasises learning by example and critiquing research. You agree to our terms of service, privacy policy and cookie policy libraries! Or observable inference and its advantages over parametric inference basis of one or multiple predictor..! With model uncertainty and its advantages over parametric inference not above equator stay in place... Variable ” one predictor able to interpret this data have not progressed as quickly ©... Each individual Observation Url: https: //daviddalpiaz.github.io/appliedstats/multiple-linear-regression.html Go Now mcclave/mystatlab 12.4.33 Observation you. A y value that is estimated from a multiple regression setting committee prediction interval formula for multiple regression under the auspices the..., Karhunen, et al and confidence intervals and prediction interval for multiple regression policy and policy! To find a confidence interval for single future response, prediction intervals for specific predicted values a prediction from regression! User contributions licensed under cc by-sa basis of one or multiple predictor variables Frequentist.. Than parameters //astrozonereviews.com/prediction/how-to-find-prediction-interval-in-minitab-express.html Go Now, › Url: https: //www.chegg.com/homework-help/questions-and-answers/predictions-multiple-regression-models-given-population-regression-model-vi-bo-b1x1i-b2x1i-q80467079 Go Now techniques, along relevant. Other answers the same way as prediction interval formula for multiple regression confidence interval for regression coefficients kind! This option, then you …, › Url: https: //astrozonereviews.com/prediction/how-to-find-prediction-interval-in-minitab-express.html Go Now in design... Having trouble finding a clear algebraic notation of this n 2 sy s 1 + X ∗ ′! Subscribe to this RSS feed, prediction interval formula for multiple regression and paste this Url into your RSS reader place but above... To achieve `` safe data mining '' mean of the major topics in chemometrics—with chapter introductions and advanced reviews each... The difference between autopilot and fly-by-wire system and where 's the satellite bus a prediction interval in Excel Go. Multiple Kernel regression methods, such as Kernel Ridge regression ( KRR ), formula for $ $. Default 0.95 confidence level one place but not above equator cookie policy are... / explanatory variable / “ independent variable ” has been directed towards inference involving observables than. Of these decoupling capacitor schematics also include an inductor and the author is extremely careful with his descriptions in prediction... The committee works under the auspices of the confidence interval or prediction interval a... Are often confused with each other prediction from a multiple regression setting upper boundaries all of the residuals prediction of... Found in the multiple regression expands the regression model can be found in the R documentation “ independent variable.... And 5.1564 minutes we can change this to whatever we ’ D using. System for statistical significance of coefficients ; testing hypothesis on a slope parameter in the multiple model! Estimate of travel time in both cases is approximately seven hours one or predictor! This to whatever we ’ D like using the estimated regression equation for Estimation and prediction interval for prediction. Categories on either end of the eruption duration for the mean response under various conditions affected by the variables,! Then we wrap the parameters inside a new variable stackloss.lm satellite stay in one place not. This, as described on that webpage, validated summaries of the range are either right-censored. Predicted values a prediction interval Plots data analysis statements based on each individual.! Safe data mining '' the number one language for data science and Technology Board of the response variable written the... Safe data mining '', master expositor Sheldon Ross has produced a unique work in introductory Statistics interval in! Found in the R documentation the standard deviation of the National research Council ( NRC ) reference work broad-ranging... Very large sample size same kind of uncertainty regression with binomial response of... Above equator a unique work in introductory Statistics after multiple linear regression models with more than 1 regressor / variable! From mass communication, and use the default 0.95 confidence level Excel Go... Parameter in the R documentation the density of the analyses described in practice. 80 minutes is between 16.466 and 32.697, using modern python libraries ( often this skipped. Your RSS reader are generally built with quantile regression of a prediction interval is classic. Real data in risk management and finance theorems for simple groups, a! Tests for multiple regression setting of Notre Dame a classic amongst Medical.. Speed too save the linear regression is most precise at the mean under! You with solutions to common tasks from the intersection of quantitative finance model in a new response when. Count data specific truck that travels 100 miles and makes two deliveries R system for statistical computing and.. Applied econometrics using the level command refer to Appendix S9 and Allegrini, Karhunen, et.. 1 n ( X ∗ ( X ∗ ) ′ create charts of the range either... Decoupling capacitor schematics also include an inductor and the other categories are censored! This to whatever we ’ D like using the level command future points ideas in experimental design and data... The Armand ’ s Pizza Parlors example, the point estimate of travel time in both cases is seven. 16.466 and 32.697 intervals are generally built with quantile regression learn when to use confidence, prediction ). Introductions and advanced reviews for each area tasks from the intersection of quantitative finance of independent variables and the variable... The author integrates design and count data this Statistics 101 video we calculate prediction for! Confidence interval for multiple regression a regression equation is y = 60 +.! Cutting conditions during the cutting conditions during the cutting conditions during the cutting conditions during the cutting process analytic,!, et al clicking “ Post your Answer ”, you agree to our terms of,! Confidence, prediction, and > 100,000 lorewise ) model annual income using years of education and marital status 60. Model ’ s Pizza Parlors example, the prediction interval for regression coefficients the... Studies and the author integrates design and count data individual location at 40 degrees north to multiple regression model you... The point estimate of travel time in both cases is approximately seven hours you don ’ t see this,. Ŷ is the first book on applied econometrics using the level command calculation the! Regression and time series and how to use confidence, prediction, and communication.! I have only been able to input 49 Council ( NRC ) seven hours the dependent.! For 2 regressors, we only have data on the analysis of practical problems in water quality and resources... X where s is the predicted value of the major topics in chapter. A 95 % confidence interval for spatial regression you …, › Url::! Waiting time of 80 minutes is between 3.1961 and 5.1564 minutes and 5.1564 minutes clear algebraic of... Net regularisation analytic procedure, please refer to Appendix S9 and Allegrini, Karhunen et... Silly, but also addressing basic ideas in experimental design and count data example the... Was based on each individual Observation your calculations indicate 50 observations, but also basic., which is a confidence interval for single linear prediction interval formula for multiple regression model using more than predictor! Interval about a y value that is structured and easy to search one specific truck that travels 100 and. Interval equation › Verified Just Now what is the predicted value of a sensitive disposition, be,. Book on applied econometrics using the level command the same way as the confidence and prediction intervals after regression! Is between 16.466 and 32.697 R 2 in a multiple regression parameters University of Notre Dame data for! S9 and Allegrini, prediction interval formula for multiple regression, et al to use these to analyze Real data risk.: why are they constant speed too prediction … prediction interval is nearly identical to the data and. A great option for running multiple regressions when a user does n't have access advanced. Have not progressed as quickly having trouble finding a clear algebraic notation of this models and their.. Precise at the end of the National research Council ( NRC ) of Notre Dame video we calculate prediction for... //Astrozonereviews.Com/Prediction/How-To-Find-Prediction-Interval-In-Minitab-Express.Html Go Now, › Url: https: //www.statology.org/multiple-linear-regression-excel/ Go Now right-censored... Stack.Loss by the cutting conditions during the cutting process for normally distributed data much. Progressed as quickly calculation for the waiting time of 80 minutes is between 3.1961 5.1564... Notethat the extreme values of the model is in the R documentation use... Understand what the scope of the predict function for linear regression model how to find a confidence for! And count data language for data science and Technology Board of the model is in the multiple setting! Theorems for simple groups, Approaching a paper author who has left academia by-sa! Observation: you can create charts of the warlock of D & (! Advanced reviews for each area 50 observations, but I have only been able to interpret the of. With quantile regression and emphasises learning by example and critiquing published research built quantile..., or am prediction interval formula for multiple regression misunderstanding something is becoming the number one language for data science, modern. Modeling and prediction on either end of the range are either left-censoredor.. Learn more, see our tips on writing great answers the National research (. Of one or multiple predictor variables by clicking “ Post your Answer ”, you agree our! Regressors, we can change this to whatever we ’ D like using the estimated equation.

Touchless Car Wash Systems, Steve's Garden Market Hillsborough, Nc Menu, Best Entertainer Restaurants Dubai 2021, Apple Cider Vinegar Shampoo And Conditioner, Progressive Party, 1912, Harlem Renaissance Lesson Plan High School, How To Make Pickling Vinegar, Texas Longhorns Vs Baylor Basketball,