Author: Anonymous

Predict the violent crime rate for a Southern state with an urbanization of 55.4 and a poverty rate of 13.7.

Calculate the F value for Anova

For Q8 – Q18, we will try to build a “best” linear regression model between sales (in number of units) and price (in dollars) and the type of promotions we applied. For Q8 – Q12, we will first fit a simple linear regression between sales and price, here is the result we got: The fitted regression equation was: Sales =3280 – 989*Price The ANOVA F test p-value was 0.000, and R^2 = 56.4% Q8: Which of the following is the best interpretation of the slope of the line?

In simple linear regression, when β is not significantly different from zero we conclude that:

Below is a sketch of the residual plot for this analysis. What can you conclude from it?  

The coefficient of linear correlation, r, for this analysis is:

Predict the sales based on this model, when the price is 1.2 dollars and we only applied Promotion1.

When finding the p-value for the ANOVA F test, what degrees of freedom should be used?

In a simple linear regression model with 15 observations, we obtain a test statistic of -2.17 t-test for the slope, β. What should be the conclusion when assessing the relationship between predictor x and response y?

Should anything be done to improve this model?