MY NOTES ASK YOUR TEACHER PRACTICE ANOTHER 3. DETAILS The following multiple regression printout can be used to predict the number of items sold given the current price (in dollars), the competitor's current price (in dollars), and average income generated by the product (in dollars). Regression Analysis: Unit Sales (Q) Versus Price ($) , Competitor's Price ($) , Income ($) Coefficients Term Coef SE Coef T-Value P-Value Constant 1, 322, 765 359, 135 3. 683 0. 001 Price ($) -79, 672 35, 840 -2.223 0. 031 Competitor Price ($) 31, 482 31, 392 1.003 0. 321 Income ($) -17.69 5. 87 -3. 014 0. 004 (a) Is the regression coefficient of competitor's price statistically significant? (Use a = 0.05.) The regression coefficient of competitor's price -Select-| statistically significant. (b) Does the variable competitor's price belong in the model? The variable competitor's price -Select-|belong in the model