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# Five Regression Models - Assignment Example

Summary
In the report “Five Regression Models” the author uses Excel to run five regression models. He creates his own new version of the table that fills in the estimated figures. The estimated regression coefficients remain unchanged since there was no change in the number of variables regressed…

## Extract of sample "Five Regression Models"

Download file to see previous pages With these results, am not surprised on the change on the estimated coefficient on STR, since the explanatory variable (EL_PCT), has its own effect on STR which is subject to variation from any other explanatory variable used.
E) Run a regression of EL_PCT on MEAL_PCT along with an intercept. Use these regression results to explain why you should not be surprised by what happened to the estimated coefficient on EL_PCT when you switched from Model #2 to Model #3.
The R-Squared value is 0.426, implying that 42.6% of the variation in EL_PCT is explained by the explanatory variable (MEAL_PCT) in the model and also the estimated coefficient is 0.44 which implies that a unit changes the in MEAL_PCT results to an increase in EL_PCT by a factor of 0.44. With these results, am not surprised on the change on the estimated coefficient on EL_PCT, since the explanatory variable (MEAL_PCT), has its own effect on EL_PCT which is subject to variation from any other explanatory variable used.
F) Run a regression of MEAL_PCT on CALW_PCT along with an intercept. Use these regression results to explain why you should not be surprised by what happened to the estimated coefficient on CALW_PCT when you switched from Model #4 to Model #5.
The R-Squared value is 0.547, implying that 54.7% of variation in MEAL_PCT is explained by the explanatory variable (CALW_PCT) in the model and also the estimated coefficient is 1.75 which implies that a unit change e in CALW_PCT results to an increase in MEAL_PCT by a factor of 1.75. With these results, am not surprised on the change on the estimated coefficient on MEAL_PCT, since the explanatory variable (CALW_PCT), has its own effect on MEAL_PCT which is subject to variation from any other explanatory variable used.
G) Run a regression of STR on EL_PCT without a constant in the regression.  ...Download file to see next pagesRead More
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