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Question 3. A fast food restaurant sells hamburger m

Question 3. A fast food restaurant sells hamburger m

Question
3. A fast food restaurant sells hamburger meal package–referred to as “Combination 1″ on its menus. The table below shows the quantity of hamburgers (QD) sold, the price (P) per unit and the dollar amount spent on newspaper ads (ADV) each week during the first 26 weeks of 2015.

Weekly Sales Data for Combination 1 Meals

QD

P

ADV

51,345

2.78

4,280

50,337

2.35

3,875

52,000

3.22

12,360

118,117

1.85

19,250

48,024

2.65

6,450

48,500

2.95

8,750

75,751

2.86

9,600

78,797

2.40

9,600

59,856

3.45

9,600

23,696

3.25

6,250

61,385

3.21

4,780

63,750

3.02

6,770

60,996

3.16

6,325

84,276

2.95

9,655

90,000

2.65

10,450

58,131

3.24

9,750

55,398

3.55

11,500

69,943

3.75

8,975

79,785

3.85

8,975

38,892

3.76

6,755

43,240

3.65

5,500

52,078

3.58

4,365

11,321

3.78

9,525

73,113

3.75

18,600

79,988

3.22

14,450

98,311

3.42

15,500

a. Using the data provided in the table, run a regression to estimate the linear demand equation for the restaurants hamburger Combo 1 meals. (5 pts)

QD = a – bP + cADV

SUMMARY OUTPUT

Regression Statistics

Multiple R

0.513597898

R Square

0.263782801

Adjusted R Square

0.233733119

Standard Error

19176.2901

Observations

52

ANOVA

df

SS

MS

F

Significance F

Regression

2

6456033545

3228016773

8.77822282

0.000551628

Residual

49

18018774997

367730102

Total

51

24474808542

Coefficients

Standard Error

t Stat

P-value

Lower 95%

Upper 95%

Lower 95.0%

Upper 95.0%

Intercept

100626.0497

19216.40273

5.23646653

3.42163E-06

62009.24337

139242.8561

62009.2434

139242.8561

Price

-16392.6523

5105.3048

-3.210905703

0.002337804

-26652.14621

-6133.158387

-26652.1462

-6133.158387

Advertising

1.576333781

0.603179309

2.613375091

0.01187373

0.364199601

2.788467961

0.3641996

2.788467961

b. Evaluate your regression results by filling in the blank spaces in each the following statement. (4 pts each)

i. Write your estimated demand equation for Combo 1.

Q = 100,626.05 – 16,392.65P + 1.58A

ii. There are 49degrees of freedom for the t-test. At the 5% level of significance, the critical t-value for the test is:______.

iii. At the 5% level of significance, the parameter a ___ (is, not) significant, the

parameter b _____(is, is not) significant, and the parameter c _____ (is, is not)

significant.

iv. At the 2% level of significance, the critical t-value for a t-test is ______. At the 2%

level of significance, a ____ (is, is not) significant, b ____ (is, is not) significant,

and c _____ (is, is not) significant.

v. The p-value for b indicates that the exact level of significance is _____ percent,

which is the probability of ________.

vi. At the 5% level of significance, the critical value of the F-statistic is ______.

The model as a whole _____ (is, is not) significant at the 5% level.

vii. If P equals $2.65, while ADV equals $10,450, what is the fitted (or predicted) value of QD?

viii. The percentage of the total variation in QD that is NOT explained by the

regression is _____.

c. Suppose you think that the quantity demanded for Combo 1is related to its price and expenditure on ads in a nonlinear way of the following form:

QD = aPbADVc

i. Using the data in the table, estimate the log-linear demand equation for the Comb 1 meals.

(Copy and paste here your computer printout). (5 points)

ii. Write the estimated log-linear demand equation and explain what the estimated slope parameters b and c represent. (2 pts)

iii. Does the estimated log linear equation represent a better fit? Explain why. (2 pts)

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