In: Statistics and Probability
13. The data below shows height (in inches) and pulse rates (in beats per minute) of a random sample of women. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using a=0.05. Is there sufficient evidence to conclude that there is a linear correlation between height and pulse rate?
height_(x) pulse_rate_(y)
61.2 75
67.8 73
60.1 88
60.1 64
59.3 71
60.9 70
59.5 83
60.8 65
67.8 67
59.9 70
67.9 84
62.8 79
60.4 71
63.4 66
58.1 70
60.4 65
66.4 77
60.2 74
67.1 81
61.5 78
What are the null and alternative hypotheses?
Construct the scatterplot.
The linear correlation coefficient r is _____
(Round to three decimal places as needed.)
The test statistic t is _____
(Round to three decimal places as needed.)
The P-value is ______
(Round to three decimal places as needed.)
Because the P-value is (greater,less) than the significance level 0.05, there (is not, is) sufficient evidence to support the claim that there is a linear correlation between selling price (in hundred thousands) and the list price (in hundred thousands) of homes sold for a significance level of a=0.05.
Height X | Pulse Rate Y | X * Y | |||
61.2 | 75 | 4590 | 3745.44 | 5625 | |
67.8 | 73 | 4949.4 | 4596.84 | 5329 | |
60.1 | 88 | 5288.8 | 3612.01 | 7744 | |
60.1 | 64 | 3846.4 | 3612.01 | 4096 | |
59.3 | 71 | 4210.3 | 3516.49 | 5041 | |
60.9 | 70 | 4263 | 3708.81 | 4900 | |
59.5 | 83 | 4938.5 | 3540.25 | 6889 | |
60.8 | 65 | 3952 | 3696.64 | 4225 | |
67.8 | 67 | 4542.6 | 4596.84 | 4489 | |
59.9 | 70 | 4193 | 3588.01 | 4900 | |
67.9 | 84 | 5703.6 | 4610.41 | 7056 | |
62.8 | 79 | 4961.2 | 3943.84 | 6241 | |
60.4 | 71 | 4288.4 | 3648.16 | 5041 | |
63.4 | 66 | 4184.4 | 4019.56 | 4356 | |
58.1 | 70 | 4067 | 3375.61 | 4900 | |
60.4 | 65 | 3926 | 3648.16 | 4225 | |
66.4 | 77 | 5112.8 | 4408.96 | 5929 | |
60.2 | 74 | 4454.8 | 3624.04 | 5476 | |
67.1 | 81 | 5435.1 | 4502.41 | 6561 | |
61.5 | 78 | 4797 | 3782.25 | 6084 | |
Total | 1245.6 | 1471 | 91704.3 | 77776.74 | 109107 |
To Test :-
H0 :-
H1 :-
Test Statistic :-
t = 0.916
Test Criteria :-
Reject null hypothesis if
-2.1009 < 0.916 < 2.1009
Result :- We fail to Reject null hypothesis
Decision based on P value
P - value = P ( t > 0.916 ) = 0.372
Reject null hypothesis if P value <
level of significance
P - value = 0.372 > 0.05 ,hence we fail to reject null
hypothesis
Conclusion :- We Accept H0
Because the P-value is (greater ) than the significance level 0.05, there (is not ) sufficient evidence to support the claim that there is a linear correlation between height and pulse rate at significance level of a=0.05.