Answer a)
Multiple Regression Equation is as follows:
LTIMP = -0.02686 + 0.79116*FOREIMP + 0.60484*MIDSOLE
Answer b)
Interpretation of Slopes
b1 = Slope of FOREIMP = 0.79116
Keeping other variables constant, 1 unit increase in FOREIMP, increases LTIMP by 0.79116 units
b1 = Slope of MIDSOLE = 0.60484
Keeping other variables constant, 1 unit increase in MIDSOLE, increases LTIMP by 0.60484 units
Answer c)
The p-value of variable FOREIMP is less than 0.01. This shows that FOREIMP is a significant predictor of LTIMP at 0.01 level of significance
The p-value of variable MIDSOLE is less than 0.01. This shows that MIDSOLE is a significant predictor of LTIMP at 0.01 level of significance
Income +0.5 Need a. Specify the dependent and independent variables. b. What will be the demand...
Drop down options are durability, impact properties, shock absorbing capabilities, the two independent variables. A regression analysis is performed to predict the durability of a brand of running shoe, based on the shock-absorbing capability and the change in impact properties over time. The resulting ANOVA table is below. Complete parts (a) through (d). Degrees of Sum of Freedom Squares Regression Error Total 10.45577 6.46314 16.91891 Mean Square 5.22789 0.28101 p-value 0.00002 18.60 2 23 25 a. Determine whether there is...