b. An excel analysis was applied to data collected from a random sample of 100 people in order to preform regression analysis for the prediction of variable y using the values of 3 predictors: X1, X2, X3. The following output was obtained (omitting some entries). Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total X1 X2 X3 Intercept df 2.229 100 Coefficients -0.643 -0.111 0.395 0.073 SS 141.77 476.98 SE 3.400 0.084 0.082 0.047 MS F t Stat P-value -0.189 0.850485 Lower 95% -7.392 -0.278 0.233 -0.021 Upper 95% 6.107 0.056 0.558 0.166 (Note: since the sample is large, in sections where the t distribution is needed, you can use the Z one) i. Use a significance level of 1% to test if the entire regression model is significant. ii. Test which of the predictors is significant using a significance level of 1%.
b. An excel analysis was applied to data collected from a random sample of 100 people in order to preform regression analysis for the prediction of variable y using the values of 3 predictors: X1, X2, X3. The following output was obtained (omitting some entries). Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total X1 X2 X3 Intercept df 2.229 100 Coefficients -0.643 -0.111 0.395 0.073 SS 141.77 476.98 SE 3.400 0.084 0.082 0.047 MS F t Stat P-value -0.189 0.850485 Lower 95% -7.392 -0.278 0.233 -0.021 Upper 95% 6.107 0.056 0.558 0.166 (Note: since the sample is large, in sections where the t distribution is needed, you can use the Z one) i. Use a significance level of 1% to test if the entire regression model is significant. ii. Test which of the predictors is significant using a significance level of 1%.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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