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In Order to Determine Whether or Not the Number of Automobiles

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In order to determine whether or not the number of automobiles sold per day (y) is related to price (x1 in $1,000), and the number of advertising spots (x2), data were gathered for 7 days. Part of the Excel output is shown below.
In order to determine whether or not the number of automobiles sold per day (y) is related to price (x<sub>1</sub> in $1,000), and the number of advertising spots (x<sub>2</sub>), data were gathered for 7 days. Part of the Excel output is shown below.     a.Determine the least squares regression function relating y to x<sub>1</sub> and x<sub>2</sub>. 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 <font face= symbol ></font> = 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 <font face= symbol ></font> = 0.05, test to see if <font face= symbol ></font><sub>1</sub> is significantly different from zero. e.Determine the multiple coefficient of determination.
a.Determine the least squares regression function relating y to x1 and 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 1 is significantly different from zero.
e.Determine the multiple coefficient of determination.

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a.blured image= 0.8051 + 0.4977x1 + 0.4773x...

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