[Solution] A market research firm is interested in assessing whether there is a relationship between age and consumption patterns of a particular product.
Question: A market research firm is interested in assessing whether there is a relationship between age and consumption patterns of a particular product. They sample 15 individuals and ask their age and the amount they spent on that product in the previous year. The figures are as follows:
| Individual | Age | Amount spent |
| 1 | 25 | 168 |
| 2 | 47 | 153 |
| 3 | 58 | 131 |
| 4 | 37 | 156 |
| 5 | 59 | 105 |
| 6 | 21 | 181 |
| 7 | 55 | 145 |
| 8 | 43 | 88 |
| 9 | 47 | 42 |
| 10 | 24 | 168 |
| 11 | 61 | 28 |
| 12 | 55 | 48 |
| 13 | 29 | 165 |
| 14 | 50 | 31 |
| 15 | 39 | 55 |
Required
- Calculate Pearson’s correlation coefficient between age and amount spent on this particular product.
- Test this correlation for statistical significance (at a 5% significance level).
- Estimate a linear regression to examine the relationship between age and amount spent on this product.
- If an individual was 35 years old, what would you predict his/her amount spent on this product to be for the previous year?
- Comment on any potential problems there might be with this regression.
Price: $2.99
Solution: The downloadable solution consists of 5 pages
Deliverable: Word Document 