In: Statistics and Probability
1)Annual high temperatures in a certain location have been
tracked for several years. Let X represent the year and Y the high
temperature. Based on the data shown below, calculate the
regression line (each value to two decimal places).
y = _____________ x + ________________
x | y |
---|---|
3 | 10.42 |
4 | 10.96 |
5 | 13.8 |
6 | 17.14 |
7 | 16.98 |
8 | 21.22 |
9 | 23.96 |
10 | 23.9 |
11 | 27.14 |
12 | 30.28 |
13 | 30.22 |
14 | 34.06 |
15 | 37.1 |
16 | 36.74 |
17 | 41.08 |
18 | 41.62 |
2) Annual high temperatures in a certain location have been
tracked for several years. Let X represent the year and Y the high
temperature. Based on the data shown below, calculate the
correlation coefficient (to three decimal places) between X and Y.
Use your calculator!
x | y |
---|---|
4 | 22.68 |
5 | 21.8 |
6 | 23.42 |
7 | 24.24 |
8 | 25.86 |
9 | 28.68 |
10 | 32.9 |
11 | 31.92 |
12 | 36.24 |
13 | 36.26 |
14 | 36.18 |
15 | 41.4 |
16 | 43.02 |
r=
3)Recently a community college offered a 2-credit course to help
students with math anxiety. At the beginning of the course, each
student took a 30-question survey (called MARS-S); the higher the
score, the more anxiety experienced by the student. The nine
students remaining in the class took the same survey at the end of
the course. The before and after scores for each of the nine
students who completed the course are shown below.
student | before | after |
1 | 72 | 69 |
2 | 66 | 52 |
3 | 83 | 71 |
4 | 97 | 85 |
5 | 95 | 61 |
6 | 78 | 45 |
7 | 95 | 56 |
8 | 52 | 43 |
9 | 93 | 62 |
Compute the correlation between before and after scores for these
students. (Assume the correlation conditions have been satisfied
and round your answer to the nearest 0.001.)
Answer 1:
The equation of the regression line is:
y = 3.21 + 2.17*x
Answer 2:
The correlation coefficient is:
r = 0.980
Answer 3:
The correlation coefficient is:
r = 0.588