In: Statistics and Probability
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.
p-value < 0.01
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
c-3. At the 1% significance level, what is the
conclusion to the test?
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 |
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.
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?
b-1. Choose the hypotheses to test whether the
unemployment rate is negatively related with sales.
b-2. Find the p-value.
Since this is a one sided test, the required p value = 0.071/2 = 0.0355
b-3. At the 1% significance level, what is the conclusion to the test?
c-1. Choose the appropriate hypotheses to test
whether advertising expenditures are positively related with
sales.
c-2. Find the p-value.
Since this is a one sided test, the required p value = 0.003/2 = 0.0015
c-3. At the 1% significance level, what is the
conclusion to the test?