Question

In: Statistics and Probability

Construct a scattergram for each data set. Then calculate r and r 2 for each data...

Construct a scattergram for each data set. Then calculate r and r 2 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.

98.68​% 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.)

c.

x

1

2

2

3

3

3

4

y

2

1

3

1

2

3

2

Calculate r.

r=___________​(Round to four decimal places as​ needed.)

Solutions

Expert Solution

Following is the scatter plot:

Following table shows the calculations:

X Y X^2 Y^2 XY
-1 -3 1 9 3
0 0 0 0 0
1 1 1 1 1
2 4 4 16 8
3 5 9 25 15
Total 5 7 15 51 27

Sample size: n=5

The coefficient of correlation is :

The coefficient of determination is:

D.There is a very strong positive linear relationship between x and y.

The 97.09% of the total sample variability around y is explained by the linear relationship between x and y.

-----------------------

(b)

Following is the scatter plot:

Following table shows the calculations:

X Y X^2 Y^2 XY
-1 5 1 25 -5
0 4 0 16 0
1 2 1 4 2
2 1 4 1 2
3 -1 9 1 -3
Total 5 11 15 47 -4

Sample size: n=5

The coefficient of correlation is :

The coefficient of determination is:

A.There is a very strong negative linear relationship between x and y.

The 98.68​% of the total sample variability around y overbary is explained by the linear relationship between x and y.

--------------------------

(c)

Following is the scatter plot:

Following table shows the calculations:

X Y X^2 Y^2 XY
1 2 1 4 2
2 1 4 1 2
2 3 4 9 6
3 1 9 1 3
3 2 9 4 6
3 3 9 9 9
4 2 16 4 8
Total 18 14 52 32 36

Sample size: n=7

The coefficient of correlation is :

The coefficient of determination is:

x and y are not related.


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