In: Statistics and Probability
Use the given data set to complete parts (a) through (c) below. (Use
alphaαequals=0.05.)
| 
 x  | 
 10  | 
 8  | 
 13  | 
 9  | 
 11  | 
 14  | 
 6  | 
 4  | 
 12  | 
 7  | 
 5  | 
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 
 y  | 
 9.14  | 
 8.13  | 
 8.73  | 
 8.78  | 
 9.25  | 
 8.11  | 
 6.12  | 
 3.11  | 
 9.12  | 
 7.26  | 
 4.73  | 
LOADING...
Click here to view a table of critical values for the correlation coefficient.
a. Construct a scatterplot. Choose the correct graph below.
A.
04812160246810xy
A scatterplot has a horizontal x-scale from 0 to 16 in increments of 2 and a vertical y-scale from 0 to 10 in increments of 1. Eleven points are plotted with approximate coordinates as follows: (4, 3.2); (5, 4.8); (6, 6.2); (7, 7.2); (8, 8.2); (9, 8.8); (10, 9.2); (11, 9.2); (12, 9.2); (13, 8.8); (14, 8.2).
relation coefficient, r, then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables.
The linear correlation coefficient is
r=?
(Round to three decimal places as needed.)
Following is the scatter plot:

(b)
Following table shows the calculations:
| X | Y | X^2 | Y^2 | XY | |
| 10 | 9.14 | 100 | 83.5396 | 91.4 | |
| 8 | 8.13 | 64 | 66.0969 | 65.04 | |
| 13 | 8.73 | 169 | 76.2129 | 113.49 | |
| 9 | 8.78 | 81 | 77.0884 | 79.02 | |
| 11 | 9.25 | 121 | 85.5625 | 101.75 | |
| 14 | 8.11 | 196 | 65.7721 | 113.54 | |
| 6 | 6.12 | 36 | 37.4544 | 36.72 | |
| 4 | 3.11 | 16 | 9.6721 | 12.44 | |
| 12 | 9.12 | 144 | 83.1744 | 109.44 | |
| 7 | 7.26 | 49 | 52.7076 | 50.82 | |
| 5 | 4.73 | 25 | 22.3729 | 23.65 | |
| Total | 99 | 82.48 | 1001 | 659.6538 | 797.31 | 

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Conclusion; There is sufficient evidence to support the claim of a linear correlation between the two variables.