Suppose you are given the following x and y values. Assume x is the independent variable and y the dependent variable.
x | y |
13 | 10 |
10 | 11 |
3 | 4 |
29 | 23 |
5 | 8 |
25 | 21 |
8 | 10 |
17 | 15 |
19 | 17 |
31 | 29 |
23 | 24 |
Is there a significant relationship between x and y? Explain. Test at a 5% level of significance
X | Y | X * Y | |||
13 | 10 | 130 | 169 | 100 | |
10 | 11 | 110 | 100 | 121 | |
3 | 4 | 12 | 9 | 16 | |
29 | 23 | 667 | 841 | 529 | |
5 | 8 | 40 | 25 | 64 | |
25 | 21 | 525 | 625 | 441 | |
8 | 10 | 80 | 64 | 100 | |
17 | 15 | 255 | 289 | 225 | |
19 | 17 | 323 | 361 | 289 | |
31 | 29 | 899 | 961 | 841 | |
23 | 24 | 552 | 529 | 576 | |
Total | 183 | 172 | 3593 | 3973 | 3302 |
To Test :-
H0 :-
H1 :-
Test Statistic :-
t = 11.9701
Test Criteria :-
Reject null hypothesis if
Result :- Reject null hypothesis
Decision based on P value
P - value = P ( t > 11.97014052 ) = 0.00000079
Reject null hypothesis if P value <
level of significance
P - value = 0.00000079 < 0.05 ,hence we reject null
hypothesis
Conclusion :- We reject H0
There is statistically sufficient evidence to conclude that there is linear relationship between x and y.
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