Textbook example 529 Exercise 11 As part of a study to investigate the relationship between anxiety and certain other variables, the following data were collected on a simple random sample of 15 high school students What is the regression equation with corresponding estimated coefficients Interpret the ANOVA test would the hypothesis be rejected or not rejected Test the null hypothesis that each slope in the regression model is equal to 0 Ordinary Least Squares Regression N 15 Y N 15 Mean Diff Signif 95 CI X1 0 176 001 (0 087, 0 266) X2 1 563 455 ( 6 046, 2 920) X3 1 575 005 (0 582, 2 568) X4 1 629 027 (0 228, 3 030) Residual standard error 24 031 AIC 143 867 R2 84 2 Adjusted R2 77 9 ANOVA F test Pr F(4, 10) 13 365

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Textbook example 529 Exercise 11 As part of a study to investigate the relationship between anxiety and certain other variables, the following data were collected

Textbook example 529 Exercise 11

As part of a study to investigate the relationship between anxiety and certain other variables, the following data were collected on a simple random sample of 15 high school students.

What is the regression equation with corresponding estimated coefficients
Interpret the ANOVA test - would the hypothesis be rejected or not rejected
Test the null hypothesis that each slope in the regression model is equal to 0.

Ordinary Least Squares Regression; N*=15 Y: N*=15 Mean Diff Signif 95% CI X1 0. 176 + . 001 (0. 087, 0.266) X2 -1.563 + . 455 (-6.046, 2.920) X3 1.575 + .005 (0.582, 2.568) X4 1.629 + .027 (0.228, 3.030) Residual standard error: 24.031 AIC: 143.867 R2: 84 . 2% & Adjusted R2: 77.9% / ANOVA F-test Pr[F(4, 10) > 13. 365] = <.001annual number of years salary measure in present stress firm size position age multiple regression and correlation annual do via n>