Article Writing Homework Help

Hi, need to submit a 1500 words paper on the topic Five Regression Models. 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.&nbsp.