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THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION

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THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
Consider the following data for two variables,x and y.The independent variable x represents the amount of training time (in hours)for a salesperson starting a new car dealership to adjust fully,and the dependent variable y represents the weekly sales (in $1000s).
THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: Consider the following data for two variables,x and y.The independent variable x represents the amount of training time (in hours)for a salesperson starting a new car dealership to adjust fully,and the dependent variable y represents the weekly sales (in $1000s).    -Estimate the value of y when x = 45 using the estimated linear regression equation of the form    .
-Estimate the value of y when x = 45 using the estimated linear regression equation of the form THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: Consider the following data for two variables,x and y.The independent variable x represents the amount of training time (in hours)for a salesperson starting a new car dealership to adjust fully,and the dependent variable y represents the weekly sales (in $1000s).    -Estimate the value of y when x = 45 using the estimated linear regression equation of the form    .
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Definitions:

Total Rate of Return

A measure of the total gain or loss on an investment over a specified period, including both capital gains and dividends or interest.

Total Dollar Return

The overall financial gain or loss on an investment, expressed in dollars, including dividends, interest, and capital gains.

Dividend Payments

Cash payments made by a company to its shareholders as a distribution of profits.

Variance

A statistical measurement of the dispersion of a set of data points, reflecting how much each number in the set differs from the mean.

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