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Question
In order to determine whether or not the number of automobiles sold per day (y) is related to price (x1in $1,000), and the number of advertising spots (x2), data were gathered for 7 days. Part of the Excel output is shown below.| ANOVA | ||||
| df | SS | MS | F | |
| Regression | 40.700 | |||
| Residual | 1.016 | |||
| Coefficients | Standard Error | |||
| Intercept | 0.8051 | |||
| X1 | 0.4977 | 0.4617 | ||
| X2 | 0.4733 | 0.0387 |
a. Determine the least squares regression function relating yto x1and x2.
b. If the company charges $20,000 for each car and uses 10 advertising spots, how many cars would you expect them to sell in a day?
c. At
= 0.05, test to determine if the fitted equation developed in Part a represents a significant relationship between the independent variables and the dependent variable.d. At
= 0.05, test to see if 
1is significantly different from zero.e. Determine the multiple coefficient of determination.
Answer
This answer is hidden. It contains 126 characters.
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