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For this assignment, you will predict how many employees you will need in the summer of 2030 if your average customer rating is 4.5 and you have 11 competitors, based on the following regression results for which the F statistic is statistically significant. Variable Coefficient Significance Intercept 136.52 .255 Year .0265 .001 Spring 66.87 .045 Winter 56.92 .099 Summer 204.37 .010 Customer Rating 46.21 .001 Competitors -34.97 .112 This is how you do it: 1) Ignore all predictors for which the significance of their coefficient is greater than .05 2) Ignore all dummy variables that will equal zero during the summer. A dummy variable can only equal zero or one. 3) For the remaining variables, multiply their coefficients by their predicted values in the summer of 2030, for example multiply the coefficient of year by 2030. 4) Add them up and round up to the nearest whole number because you cannot hire part of an employee. Provide your answer and show your work. By showing your work, your professor can see what you did incorrectly if you made a mistake. You will lose points if you do not show your work. Submit your answer as an attachment to “Assignment Twelve” which you can find in the Week Five Module
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