Question
Male Spending Male Work Female Spending Female Work 10 0 75 12 15 0 40 0 10 0 45 0 35 6 45 0 20
Male Spending | Male Work | Female Spending | Female Work |
10 | 0 | 75 | 12 |
15 | 0 | 40 | 0 |
10 | 0 | 45 | 0 |
35 | 6 | 45 | 0 |
20 | 0 | 50 | 0 |
50 | 16 | 45 | 0 |
25 | 0 | 60 | 5 |
25 | 0 | 60 | 6 |
25 | 0 | 60 | 9 |
0 | 0 | 50 | 0 |
40 | 9 | 50 | 4 |
50 | 0 | 60 | 6 |
150 | 30 | 55 | 6 |
50 | 6 | 65 | 10 |
50 | 32 | ||
50 | 20 | ||
50 | 14 | ||
45 | 12 | ||
50 | 13 | ||
50 | 5 | ||
50 | 15 | ||
30 | 0 | ||
40 | 10 | ||
50 | 20 | ||
30 | 6 | ||
55 | 15 | ||
15 | 12 |
1. It is to believe that the average amount spent on fast food per week for men in the population and the average amount spent on fast food per week for women in the population are the same. Use a t-test assuming equal variances to test this at the 0.05 level.
2. I want to study the relationship between the average amount of money spent on fast food per week (SPENDING) and the average number of hours worked per week (WORK). To do this, a simple regression needs to be done with SPENDING as the dependent variable and WORK as the explanatory variable. Conduct any relevant tests at the 0.05 level.
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