The Pilot Pen Company has decided to use 15 test markets to examine the sensitivity of demand for its new product to various prices, as shown in the following table. Advertising effort was identical in each market. Each market had approximately the same level of business activity and population. Complete the following worksheet and then estimate the demand function for Pilot's new pen using a linear regression model. Test Market Price Charged Quantity Sold (cents) (Thousands of Pens) ii xixi yiyi xixiyiyi xi2xi2 yi2yi2 1 50 20 1,000 2,500 400 2 50 21 1,050 2,500 441 3 55 19 1,045 3,025 361 4 55 19.5 1,072.5 3,025 380.25 5 60 20.5 1,230 3,600 420.25 6 60 19 1,140 3,600 361 7 65 15.5 1,007.5 4,225 240.25 8 65 15 975 4,225 225 9 70 14.5 1,015 4,900 210.25 10 70 15.5 1,085 4,900 240.25 11 80 13 1,040 6,400 169 12 80 14 1,120 6,400 196 13 90 11.5 1,035 8,100 132.25 14 90 11 990 8,100 121 15 40 17 680 1,600 289 Total 980 246 ? 67,100 ? Regression Parameters Estimations Slope (ββ) ? Intercept (αα) ? What is the standard error of the estimate (sese)? 1.754 1.532 105.182 What is the estimate of the standard deviation of the estimated slope (sbsb)? 1.897 0.028 0.032 Can you reject the hypothesis (at the 0.05 level of significance) that there is no relationship (i.e., β=0β=0) between the price and quantity variables? (Hint: t0.025,13=2.16t0.025,13=2.16) Yes No Complete the following worksheet and then use it to calculate the coefficient of determination. ii xixi yiyi yˆy^ (yˆi−y¯)2y^i−y¯2 (yi−y¯)2yi−y¯2 1 50 20 19.329 8.579 12.960 2 50 21 19.329 8.579 21.160 3 55 19 18.374 3.897 6.760 4 55 19.5 18.374 3.897 9.610 5 60 20.5 17.419 1.038 16.810 6 60 19 17.419 1.038 6.760 7 65 15.5 16.464 0.004 0.810 8 65 15 16.464 0.004 1.960 9 70 14.5 15.509 0.794 3.610 10 70 15.5 15.509 0.794 0.810 11 80 13 13.599 7.846 11.560 12 80 14 13.599 7.846 5.760 13 90 11.5 11.689 22.194 24.010 14 90 11 11.689 22.194 29.160 15 40 17 21.239 23.416 0.360 Total ? ? The coefficient of determination (r2r2) is? What is the price elasticity of demand at a price of 50 cents? -0.50 -0.46 -0.02 0.03
The Pilot Pen Company has decided to use 15 test markets to examine the sensitivity of demand for its new product to various prices, as shown in the following table. Advertising effort was identical in each market. Each market had approximately the same level of business activity and population. Complete the following worksheet and then estimate the demand function for Pilot's new pen using a linear regression model. Test Market Price Charged Quantity Sold (cents) (Thousands of Pens) ii xixi yiyi xixiyiyi xi2xi2 yi2yi2 1 50 20 1,000 2,500 400 2 50 21 1,050 2,500 441 3 55 19 1,045 3,025 361 4 55 19.5 1,072.5 3,025 380.25 5 60 20.5 1,230 3,600 420.25 6 60 19 1,140 3,600 361 7 65 15.5 1,007.5 4,225 240.25 8 65 15 975 4,225 225 9 70 14.5 1,015 4,900 210.25 10 70 15.5 1,085 4,900 240.25 11 80 13 1,040 6,400 169 12 80 14 1,120 6,400 196 13 90 11.5 1,035 8,100 132.25 14 90 11 990 8,100 121 15 40 17 680 1,600 289 Total 980 246 ? 67,100 ? Regression Parameters Estimations Slope (ββ) ? Intercept (αα) ? What is the standard error of the estimate (sese)? 1.754 1.532 105.182 What is the estimate of the standard deviation of the estimated slope (sbsb)? 1.897 0.028 0.032 Can you reject the hypothesis (at the 0.05 level of significance) that there is no relationship (i.e., β=0β=0) between the price and quantity variables? (Hint: t0.025,13=2.16t0.025,13=2.16) Yes No Complete the following worksheet and then use it to calculate the coefficient of determination. ii xixi yiyi yˆy^ (yˆi−y¯)2y^i−y¯2 (yi−y¯)2yi−y¯2 1 50 20 19.329 8.579 12.960 2 50 21 19.329 8.579 21.160 3 55 19 18.374 3.897 6.760 4 55 19.5 18.374 3.897 9.610 5 60 20.5 17.419 1.038 16.810 6 60 19 17.419 1.038 6.760 7 65 15.5 16.464 0.004 0.810 8 65 15 16.464 0.004 1.960 9 70 14.5 15.509 0.794 3.610 10 70 15.5 15.509 0.794 0.810 11 80 13 13.599 7.846 11.560 12 80 14 13.599 7.846 5.760 13 90 11.5 11.689 22.194 24.010 14 90 11 11.689 22.194 29.160 15 40 17 21.239 23.416 0.360 Total ? ? The coefficient of determination (r2r2) is? What is the price elasticity of demand at a price of 50 cents? -0.50 -0.46 -0.02 0.03
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
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Question
The Pilot Pen Company has decided to use 15 test markets to examine the sensitivity of demand for its new product to various prices, as shown in the following table. Advertising effort was identical in each market. Each market had approximately the same level of business activity and population.
Complete the following worksheet and then estimate the demand function for Pilot's new pen using a linear regression model.
Test Market
|
|
Quantity Sold
|
|
||
---|---|---|---|---|---|
(cents)
|
(Thousands of Pens)
|
||||
ii | xixi | yiyi | xixiyiyi | xi2xi2 | yi2yi2 |
1 | 50 | 20 | 1,000 | 2,500 | 400 |
2 | 50 | 21 | 1,050 | 2,500 | 441 |
3 | 55 | 19 | 1,045 | 3,025 | 361 |
4 | 55 | 19.5 | 1,072.5 | 3,025 | 380.25 |
5 | 60 | 20.5 | 1,230 | 3,600 | 420.25 |
6 | 60 | 19 | 1,140 | 3,600 | 361 |
7 | 65 | 15.5 | 1,007.5 | 4,225 | 240.25 |
8 | 65 | 15 | 975 | 4,225 | 225 |
9 | 70 | 14.5 | 1,015 | 4,900 | 210.25 |
10 | 70 | 15.5 | 1,085 | 4,900 | 240.25 |
11 | 80 | 13 | 1,040 | 6,400 | 169 |
12 | 80 | 14 | 1,120 | 6,400 | 196 |
13 | 90 | 11.5 | 1,035 | 8,100 | 132.25 |
14 | 90 | 11 | 990 | 8,100 | 121 |
15 | 40 | 17 | 680 | 1,600 | 289 |
Total | 980 | 246 | ? | 67,100 | ? |
Regression Parameters
|
Estimations
|
---|---|
Slope (ββ) | ? |
Intercept (αα) | ? |
What is the standard error of the estimate (sese)?
1.754
1.532
105.182
What is the estimate of the standard deviation of the estimated slope (sbsb)?
1.897
0.028
0.032
Can you reject the hypothesis (at the 0.05 level of significance) that there is no relationship (i.e., β=0β=0) between the price and quantity variables? (Hint: t0.025,13=2.16t0.025,13=2.16)
Yes
No
Complete the following worksheet and then use it to calculate the coefficient of determination.
ii
|
xixi
|
yiyi
|
yˆy^
|
(yˆi−y¯)2y^i−y¯2
|
(yi−y¯)2yi−y¯2
|
---|---|---|---|---|---|
1 | 50 | 20 | 19.329 | 8.579 | 12.960 |
2 | 50 | 21 | 19.329 | 8.579 | 21.160 |
3 | 55 | 19 | 18.374 | 3.897 | 6.760 |
4 | 55 | 19.5 | 18.374 | 3.897 | 9.610 |
5 | 60 | 20.5 | 17.419 | 1.038 | 16.810 |
6 | 60 | 19 | 17.419 | 1.038 | 6.760 |
7 | 65 | 15.5 | 16.464 | 0.004 | 0.810 |
8 | 65 | 15 | 16.464 | 0.004 | 1.960 |
9 | 70 | 14.5 | 15.509 | 0.794 | 3.610 |
10 | 70 | 15.5 | 15.509 | 0.794 | 0.810 |
11 | 80 | 13 | 13.599 | 7.846 | 11.560 |
12 | 80 | 14 | 13.599 | 7.846 | 5.760 |
13 | 90 | 11.5 | 11.689 | 22.194 | 24.010 |
14 | 90 | 11 | 11.689 | 22.194 | 29.160 |
15 | 40 | 17 | 21.239 | 23.416 | 0.360 |
Total | ? | ? |
The coefficient of determination (r2r2) is?
What is the price elasticity of demand at a price of 50 cents?
-0.50
-0.46
-0.02
0.03
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