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The Following Is Part of the Results of a Regression α\alpha

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The following is part of the results of a regression analysis involving sales (Y in millions of dollars), advertising expenditures (X1 in thousands of dollars), and number of salespeople (X2) for a corporation. The regression was performed on a sample of 10 observations.
 The following is part of the results of a regression analysis involving sales (Y in millions of dollars), advertising expenditures (X<sub>1</sub> in thousands of dollars), and number of salespeople (X<sub>2</sub>) for a corporation. The regression was performed on a sample of 10 observations.     a.Write the regression equation. b.Interpret the coefficients of the estimated regression equation found in Part (a). c.At  \alpha  =0.05, test for the significance of the coefficient of advertising. d.At  \alpha  =0.05, test for the significance of the coefficient of number of salespeople. e. If the company uses $50,000 in advertisement and has 800 salespersons, what are the expected sales? Give your answer in dollars.
a.Write the regression equation.
b.Interpret the coefficients of the estimated regression equation found in Part (a).
c.At α\alpha =0.05, test for the significance of the coefficient of advertising.
d.At α\alpha =0.05, test for the significance of the coefficient of number of salespeople.
e.
If the company uses $50,000 in advertisement and has 800 salespersons, what are the expected sales? Give your answer in dollars.

Understand the purposes and importance of statistics in various contexts.
Differentiate between types of graphs and their uses in displaying data.
Identify appropriate measures of central tendency and variability, especially in the presence of outliers.
Distinguish between different types of variables (qualitative, quantitative, latent, etc.) and scales of measurement (nominal, ordinal, interval, ratio).

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