B-4 A toy store manager would like to know how the price can affect the sales of toys. In his data, he obtained 100 pairs of prices (unit: £) and volume of sales (unit: hundreds) for the toys. A simple linear regression was run with Sales as the dependent variable and Price as the independent variable with the following results. Regression Statistics R Square Adj. RSqr StErr of EST 0.876 0.767 0.701 4.184 Summary Table Variable Coeff. Std. Err Intercept 64.742 11.310 Price -2.645 0.602 (a) Write down the estimated regression equation. Explain this regression equation. (b) What's the value for R Square? Explain the meaning of this value. (c) Test the significance of the model at a=0.05 level. Write down the hypothesis you are testing, the statistic you use to evaluate the test, and your conclusion.

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B-4 A toy store manager would like to know how the price can affect the sales of toys. In his
data, he obtained 100 pairs of prices (unit: £) and volume of sales (unit: hundreds) for the
toys.
A simple linear regression was run with Sales as the dependent variable and Price as the
independent variable with the following results.
Regression Statistics
R Square
Adj. RSqr
StErr of EST
0.876
0.767
0.701
4.184
Summary Table
Variable
Coeff.
Std. Err
Intercept
64.742
11.310
Price
-2.645
0.602
(a) Write down the estimated regression equation. Explain this regression equation.
(b) What's the value for R Square? Explain the meaning of this value.
(c) Test the significance of the model at a=0.05 level. Write down the hypothesis you are
testing, the statistic you use to evaluate the test, and your conclusion.
(d) Use the regression output to construct a 99% confidence interval for the predicted sales
when the price is set to be 15.
(e) A colleague in the toy store claims that £1 increase in the price will lead to less than 2
(hundred) decrease in sales. Is there sufficient evidence to reject that claim at a=0.05 level?
Transcribed Image Text:B-4 A toy store manager would like to know how the price can affect the sales of toys. In his data, he obtained 100 pairs of prices (unit: £) and volume of sales (unit: hundreds) for the toys. A simple linear regression was run with Sales as the dependent variable and Price as the independent variable with the following results. Regression Statistics R Square Adj. RSqr StErr of EST 0.876 0.767 0.701 4.184 Summary Table Variable Coeff. Std. Err Intercept 64.742 11.310 Price -2.645 0.602 (a) Write down the estimated regression equation. Explain this regression equation. (b) What's the value for R Square? Explain the meaning of this value. (c) Test the significance of the model at a=0.05 level. Write down the hypothesis you are testing, the statistic you use to evaluate the test, and your conclusion. (d) Use the regression output to construct a 99% confidence interval for the predicted sales when the price is set to be 15. (e) A colleague in the toy store claims that £1 increase in the price will lead to less than 2 (hundred) decrease in sales. Is there sufficient evidence to reject that claim at a=0.05 level?
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