Construct a scattergram for each data set. Then calculate r and r2 for each data set. Interpret their values. Complete parts a through d.
a. |
x |
−1 |
0 |
1 |
2 |
3 |
|
---|---|---|---|---|---|---|---|
y |
−3 |
0 |
1 |
4 |
5 |
Calculate r.
r=. 9853.(Round to four decimal places as needed.)
Calculate r2.
r2=0.9709 (Round to four decimal places as needed.)
Interpret r. Choose the correct answer below.
A. There is not enough information to answer this question.
B.There is a very strong negative linear relationship between x and y.
C.x and y are not related.
D.There is a very strong positive linear relationship between x and y. Your answer is correct.
Interpret r2.
97.09% of the total sample variability around y overbary is explained by the linear relationship between x and y.
(Round to two decimal places as needed.)
b. |
x |
−1 |
0 |
1 |
2 |
3 |
|
---|---|---|---|---|---|---|---|
y |
5 |
4 |
2 |
1 |
−1 |
Calculate r.
r= −0.9934 (Round to four decimal places as needed.)
Calculate r2.
r2=. 9868.(Round to four decimal places as needed.)
Interpret r. Choose the correct answer below.
A.There is a very strong negative linear relationship between x and y. Your answer is correct.
B.There is not enough information to answer this question.
C.There is a very strong positive linear relationship between x and y.
D.x and y are not related.
Interpret r2
.________% of the total sample variability around y overbar (is explained is not explained) by the linear relationship between x and y.
(Round to two decimal places as needed.)
a)
D.There is a very strong positive linear relationship between x and y.
97.09% of the total sample variability around y overbary is explained by the linear relationship between x and y.
b)
A.There is a very strong negative linear relationship between x and y.
98.68% of the total sample variability around y overbar (is explained) by the linear relationship between x and y.
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