In: Statistics and Probability
For the accompanying data set, (a) draw a scatter diagram of the data, (b) by hand, compute the correlation coefficient, and (c) determine whether there is a linear relation between x and y.
x 2 4 6 6 7
y 4 8 11 13 18
|
n |
|
|---|---|
|
3 |
0.997 |
|
4 |
0.950 |
|
5 |
0.878 |
|
6 |
0.811 |
|
7 |
0.754 |
|
8 |
0.707 |
|
9 |
0.666 |
|
10 |
0.632 |
|
11 |
0.602 |
|
12 |
0.576 |
|
13 |
0.553 |
|
14 |
0.532 |
|
15 |
0.514 |
|
16 |
0.497 |
|
17 |
0.482 |
|
18 |
0.468 |
|
19 |
0.456 |
|
20 |
0.444 |
|
21 |
0.433 |
|
22 |
0.423 |
|
23 |
0.413 |
|
24 |
0.404 |
|
25 |
0.396 |
|
26 |
0.388 |
|
27 |
0.381 |
|
28 |
0.374 |
|
29 |
0.367 |
|
30 |
0.361 |
|
n |
(a) Draw a scatter diagram of the data. Choose the correct graph below.
(b) By hand, compute the correlation coefficient.
The correlation coefficient is r= ___
(c) Determine whether there is a linear relation between x and y.
| X | Y | X * Y |
![]() |
![]() |
|
| 2 | 4 | 8 | 4 | 16 | |
| 4 | 8 | 32 | 16 | 64 | |
| 6 | 11 | 66 | 36 | 121 | |
| 6 | 13 | 78 | 36 | 169 | |
| 7 | 18 | 126 | 49 | 324 | |
| Total | 25 | 54 | 310 | 141 | 694 |




To Test :-
H0 :- 
H1 :- 
Test Statistic :-
t = 5.2697
Test Criteria :-
Reject null hypothesis if
Result :- Reject null hypothesis
Decision based on P value
P - value = P ( t > 5.2697 ) = 0.0133
Reject null hypothesis if P value <
level of significance
P - value = 0.0133 < 0.05 ,hence we reject null hypothesis
Conclusion :- We reject H0
There is statistically linear correlation between two variables.