In: Statistics and Probability
Conduct a regression and correlation hypothesis test step 1 to step 5 on the data below before you answer each question. The number of fat calories and number of saturated fate grams for a random selection of nonbreakfast entrees are shown below. Use a .05 level of significance.
Y X
9 190
8 220
13 270
17 360
23 460
27 540
What is the null and alternative hypotheses step one?
a. H0: There is no relationship.
H1: There is a significant relationship.
b. H0: There is no change.
H1: There is a significant change.
c. H0: The means are the same.
H1: The means are not the same.
d. H0: There is no difference.
H1: There is a significant difference.
X | Y | X * Y | |||
190 | 9 | 1710 | 36100 | 81 | |
220 | 8 | 1760 | 48400 | 64 | |
270 | 13 | 3510 | 72900 | 169 | |
360 | 17 | 6120 | 129600 | 289 | |
460 | 23 | 10580 | 211600 | 529 | |
540 | 27 | 14580 | 291600 | 729 | |
Total | 2040 | 97 | 38260 | 790200 | 1861 |
r = 0.9927
To Test :-
a. H0: There is no relationship.
H1: There is a significant relationship.
Test Statistic :-
t = 16.4878
Test Criteria :-
Reject null hypothesis if
Result :- Reject null hypothesis
Decision based on P value
P - value = P ( t > 16.4878 ) = 0.0001
Reject null hypothesis if P value <
level of significance
P - value = 0.0001 < 0.05 ,hence we reject null hypothesis
Conclusion :- We reject H0
There is statistically linear correlation between variables.