See the Data illustrated below. This file contains data collected from a sample of college students. Create a scatter plot of the two quantitative variables and find the regression line for these data.
(Q1) Write the equation of the line and indicate what the variables x and y represent in the equation.
(Q2) Is there a clear choice of explanatory variable and response variable in this data set? Why or why not?
(Q3) Describe what your scatter plot and line show.
(Q4) There is one clearly unusual data point in the data set-the male who estimated he saw 200 movies at a theater last year. Delete this case and look at the scatter plot for these adjusted data. Write the equation of this adjusted line and describe how the least-squares line changed when the outier was deleted.
| Student's Gender |
Estimated Number of Movies Student Saw in a Theater Last Year |
Estimated Number of Videotapes Student Rented Last Year |
| F |
8 |
9 |
| F |
10 |
17 |
| F |
17 |
25 |
| F |
1 |
3 |
| F |
10 |
20 |
| F |
35 |
6 |
| F |
10 |
20 |
| F |
12 |
40 |
| F |
20 |
100 |
| F |
10 |
30 |
| F |
10 |
50 |
| F |
14 |
20 |
| F |
30 |
30 |
| F |
8 |
10 |
| F |
7 |
10 |
| F |
8 |
15 |
| F |
15 |
20 |
| F |
30 |
10 |
| F |
15 |
25 |
| F |
3 |
20 |
| F |
10 |
5 |
| F |
10 |
10 |
| F |
15 |
50 |
| F |
20 |
10 |
| F |
8 |
30 |
| F |
10 |
20 |
| M |
3 |
60 |
| M |
10 |
25 |
| M |
15 |
50 |
| M |
50 |
3 |
| M |
20 |
15 |
| M |
15 |
15 |
| M |
4 |
5 |
| M |
8 |
30 |
| M |
2 |
20 |
| M |
25 |
100 |
| M |
40 |
10 |
| M |
200 |
15 |
| M |
3 |
60 |
| M |
1 |
0 |
| M |
30 |
50 |
| M |
15 |
30 |
| M |
20 |
30 |
| M |
15 |
15 |
| M |
20 |
80 |
| F |
10 |
40 |
| M |
2 |
24 |
| M |
15 |
35 |
| F |
2 |
20 |
| F |
13 |
30 |
| F |
3 |
5 |
| F |
4 |
2 |
| F |
10 |
3 |
| F |
15 |
30 |
| F |
6 |
36 |
| F |
9 |
25 |
| M |
5 |
0 |
| M |
12 |
12 |
| F |
15 |
30 |
| F |
5 |
30 |
| F |
25 |
30 |
| F |
5 |
30 |
| M |
30 |
20 |
| M |
50 |
25 |
| M |
10 |
20 |
| M |
10 |
40 |
| F |
6 |
15 |
| M |
15 |
25 |
| F |
13 |
10 |