For a particular multiple linear regression analysis there are seven predictor variables. A sample of 68 observations is obtained on the seven predictor variables and the response variable. It is found that SSR = 987 and SSE = 1826.a. Construct the analysis of variance table for this analysis.b. Find R2 and interpret its value.c. Find the standard error of the estimate, se.d. At the 1% signicance level, do the data provide sufficient evidence to conclude that the seven predictor variables taken together are useful for predicting the response variable?e. State how useful you feel the regression equation is for making predictions about the response variable.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
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For a particular multiple linear regression analysis there are seven predictor variables. A sample of 68 observations is obtained on the seven predictor variables and the response variable. It is found that SSR = 987 and SSE = 1826.
a. Construct the analysis of variance table for this analysis.
b. Find R2 and interpret its value.
c. Find the standard error of the estimate, se.
d. At the 1% signicance level, do the data provide sufficient evidence to conclude that the seven predictor variables taken together are useful for predicting the response variable?
e. State how useful you feel the regression equation is for making predictions about the response variable.

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