6/12/2023 0 Comments Correlation matrix jmp![]() Summary of Fit, Analysis of Variance, and Parameter Estimates 114) What are your conclusions for each of the independent variables in the model? (Is the variable significant or not) Variable Significant at the 0.05 level? Do the values of Variable Inflation Factors indicate any potential problems for this multiple regression? Why or why not? 116 State and interpret the Confidence Interval for the estimate of the regression coefficient of the independent variable SCORE. What are your conclusions for each of the independent variables in the model? (Is the variable significant or not) Variable Significant at the 0.05 level? Is there a variable that should be removed from the multiple regression model? If so, which variable and why should it be removed? Fit a new multiple regression model with the remaining independent variables. Summary of Fit, Analysis of Variance, and Parameter Estimates (t-test) 18] What are your conclusions for each of the independent variables in the model? (Is the variable significant or not) Variable Significant at the 0.05 level? SCORE DRIVE_D DRIVE A PUTTS 19] Is there a variable that should be removed from the multiple regression model? If so, which variable and why should it be removed? Fit a new multiple regression model with the remaining independent variables. (F-test) 16) What is your conclusion about the overall model? 17] State the null and alternative hypothesis statements for testing the regression coefficient of an independent variable. Include Summary of Fit, Analysis of Variance, and Parameter Estimates 141 Summary of Fit, Analysis of Variance, and Parameter Estimatesġ41 Summary of Fit, Analysis of Variance, and Parameter Estimates 15) State the null and alternative hypothesis statements for testing a multiple regression model. Include the confidence interval and VIF for each of the regression parameters. Use JMP the fit the full model (all of the independent variables). Coefficiell interpret the linear relationship Does the correlation matrix indicate a potential multicollinearity problem? If so, which pair(s) of independent variables are a concern? If your answer is no, state why. 12] What is the correlation coefficient for EARNINGS and SCORE? Interpret the linear relationship between the two variables. EARNINGS Average Earnings per Event SCORE Average Score DRIVE D Average Drive Distance DRIVE A Average Drive Accuracy PUTTS Average Puts per Round 11 Create a correlation matrix for the variables EARNINGS, SCORE, DRIVE_D, DRIVE_A, and PUTTS using JMP. Find the best model and check assumptions. Consider the four independent variables listed in the table below. Use JMP to develop a multiple linear regression model to predict the Earnings/Event using the data found in Golf.jmp. ![]()
0 Comments
Leave a Reply. |