Question

In: Statistics and Probability

Akiko Hamaguchi is a manager at a small sushi restaurant in Phoenix, Arizona. Akiko is concerned...

Akiko Hamaguchi is a manager at a small sushi restaurant in Phoenix, Arizona. Akiko is concerned that the weak economic environment has hampered foot traffic in her area, thus causing a dramatic decline in sales. In order to offset the decline in sales, she has pursued a strong advertising campaign. She believes advertising expenditures have a positive influence on sales. To support her claim, Akiko estimates the following linear regression model: Sales = β0 + β1Unemployment + β2Advertising+ ε. A portion of the regression results is shown in the accompanying table.

ANOVA df SS MS F Significance F
Regression 2 88.2574 44.1287 8.387 0.004
Residual 14 73.6638 5.2617
Total 16 161.9210
Coefficients Standard
Error
t Stat p-value
Intercept 33.1260 6.9910 4.7380 0.000
Unemployment −0.6758 0.3459 −1.9540 0.071
Advertising 0.0287 0.0080 3.5880 0.003


a-1. Choose the appropriate hypotheses to test whether the explanatory variables jointly influence sales.


  • H0: β1 = β2 = 0; HA: At least one βj < 0

  • H0: β1 = β2 = 0; HA: At least one βj > 0

  • H0: β1 = β2 = 0; HA: At least one βj ≠ 0



a-2. Find the value of the appropriate test statistic. (Round your answer to 3 decimal places.)

Test statistic:_________



a-3. At the 5% significance level, do the explanatory variables jointly influence sales?

  • Yes, since the F-test is significant.

  • Yes, since all t-tests are significant.

  • Both answers are correct.



b-1. Choose the hypotheses to test whether the unemployment rate is negatively related with sales.

  • H0: β1 = 0; HA: β1 ≠ 0

  • H0: β1 ≥ 0; HA: β1 < 0

  • H0: β1 ≤ 0; HA: β1 > 0



b-2. Find the p-value.

  • 0.025 p-value < 0.05
  • 0.01  p-value < 0.025
  • p-value < 0.01

  • p-value  0.10
  • 0.05 p-value < 0.10



b-3. At the 1% significance level, what is the conclusion to the test?

  • Do not reject H0; we can conclude that Unemployment is negatively related to Sales.

  • Do not reject H0; we cannot conclude that Unemployment is negatively related to Sales.

  • Reject H0; we can conclude that Unemployment is positively related to Sales.

  • Reject H0; we cannot conclude that Unemployment is positively related to Sales.



c-1. Choose the appropriate hypotheses to test whether advertising expenditures are positively related with sales.

  • H0: β2 ≤ 0; HA: β2 > 0

  • H0: β2 = 0; HA: β2 ≠ 0

  • H0: β2 ≥ 0; HA: β2 < 0



c-2. Find the p-value.

  • p-value < 0.01

  • p-value  0.10
  • 0.05  p-value < 0.10
  • 0.025 p-value < 0.05
  • 0.01 p-value < 0.025



c-3. At the 1% significance level, what is the conclusion to the test?

  • Reject H0  we can conclude that Advertising is positively related to Sales.
  • Do not reject H0 we can conclude that Advertising is positively related to Sales.
  • Do not reject H0  we cannot conclude that Advertising is positively related to Sales.
  • Reject H0 we cannot conclude that Advertising is positively related to Sales.

Solutions

Expert Solution

Result:

Akiko Hamaguchi is a manager at a small sushi restaurant in Phoenix, Arizona. Akiko is concerned that the weak economic environment has hampered foot traffic in her area, thus causing a dramatic decline in sales. In order to offset the decline in sales, she has pursued a strong advertising campaign. She believes advertising expenditures have a positive influence on sales. To support her claim, Akiko estimates the following linear regression model: Sales = β0 + β1Unemployment + β2Advertising + ε. A portion of the regression results is shown in the accompanying table.

ANOVA

df

SS

MS

F

Significance F

Regression

2

88.2574

44.1287

8.387

0.004

Residual

14

73.6638

5.2617

Total

16

161.9210

Coefficients

Standard
Error

t Stat

p-value

Intercept

33.1260

6.9910

4.7380

0.000

Unemployment

−0.6758

0.3459

−1.9540

0.071

Advertising

0.0287

0.0080

3.5880

0.003


a-1. Choose the appropriate hypotheses to test whether the explanatory variables jointly influence sales.

  • H0: β1 = β2 = 0; HA: At least one βj ≠ 0



a-2. Find the value of the appropriate test statistic. (Round your answer to 3 decimal places.)

Test statistic: 8.387



a-3. At the 5% significance level, do the explanatory variables jointly influence sales?

  • Yes, since the F-test is significant.



b-1. Choose the hypotheses to test whether the unemployment rate is negatively related with sales.

  • H0: β1 ≥ 0; HA: β1 < 0



b-2. Find the p-value.

Since this is a one sided test, the required p value = 0.071/2 = 0.0355

  • 0.025 < p-value < 0.05

b-3. At the 1% significance level, what is the conclusion to the test?

  • Do not reject H0; we cannot conclude that Unemployment is negatively related to Sales.



c-1. Choose the appropriate hypotheses to test whether advertising expenditures are positively related with sales.

  • H0: β2 ≤ 0; HA: β2 > 0



c-2. Find the p-value.

Since this is a one sided test, the required p value = 0.003/2 = 0.0015

  • p-value < 0.01



c-3. At the 1% significance level, what is the conclusion to the test?

  • Reject H0  we can conclude that Advertising is positively related to Sales.

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