A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product. To do this, the company randomly chooses 5 small cities and offers the candy bar at different prices. Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:
City |
Price ($) |
Sales |
River City |
1.30 |
100 |
Hudson |
1.60 |
90 |
Ellsworth |
1.80 |
90 |
Prescott |
2.00 |
40 |
Rock Elm |
2.40 |
38 |
Referring to Table 1, if the price of candy is set at $2.0, the estimated mean sales will be
A-59.99
B-2.67
C-65
D-3.02
The statistical software output for this problem is:
From above output:
Regression equation: y = 118.95 - 64.48x
For x = 2: y = 118.95 - 64.68*2 = 59.99
Option A is correct.
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