A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price o
Question: 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 6 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 Falls | 1.30 | 100 |
Hudson | 1.60 | 90 |
Ellisworth | 1.80 | 90 |
Prescott | 2.00 | 40 |
Rock Elm | 2.40 | 38 |
Stillwater | 2.90 | 32 |
Using the table above solve for the following questions:
What is the estimated average change in the sales of the candy bar if price goes up $1.00? What percent of the total variation in candy bar sales is explained by prices?
Price: $2.99
Solution: The downloadable solution consists of 2 pages
Solution Format: Word Document
Solution Format: Word Document
