Suppose you have collected the following sample data from twenty-six randomly selected Dallas area families regarding their Weekly Expenditures on Video Rentals and Weekly Expenditures on Dining Out:
| Observation Number | Weekly Expenditures | |
| Video Rentals | Dining Out | |
| 1 | $12 | $28 |
| 2 | $12 | $27 |
| 3 | $6 | $32 |
| 4 | $13 | $32 |
| 5 | $7 | $25 |
| 6 | $10 | $24 |
| 7 | $8 | $27 |
| 8 | $4 | $20 |
| 9 | $4 | $32 |
| 10 | $13 | $35 |
| 11 | $5 | $30 |
| 12 | $9 | $22 |
| 13 | $12 | $31 |
| 14 | $9 | $25 |
| 15 | $12 | $28 |
| 16 | $4 | $34 |
| 17 | $14 | $36 |
| 18 | $10 | $24 |
| 19 | $5 | $29 |
| 20 | $18 | $42 |
| 21 | $15 | $41 |
| 22 | $6 | $26 |
| 23 | $6 | $28 |
| 24 | $4 | $40 |
| 25 | $11 | $21 |
| 26 | $9 | $24 |
Explain your answers below in detail (use analytical tools such as correlation and regression when necessary)
Q1: What is the relationship between weekly expenditures of video rentals and dining out?
Q2: If you were to reach out to these households, what other data would you be interested in collecting in order to understand their consumption behavior?
Q3: What other types of products do you think these families would be interested in?
