ou wish to determine if there is a positive linear correlation between the two variables at a significance level of α=0.01α=0.01. You have the following bivariate data set. x y 43.4 76.4 23.7 74.4 2.9 76.1 -0.4 59.2 24 72.2 35.6 64.9 20.1 60 35.5 67.5 59.7 71.5 24.3 75.7 32.6 80.1 9.6 62.8 39.8 76.7 -5.5 55.7 49.1 78.6 22.7 69.8 46.4 84.9 12.4 47.4 45.8 69.4 40.5 73.8 38.1 77.4 37.1 70.3 30.4 73.4 download link provided here: Download CSV What is the correlation coefficient for this data set? r = (report answer accurate to at least 3 decimal places) To find the p-value for a correlation coefficient, you need to convert to a t-score:t=r⋅√n−21−r2t=r⋅n-21-r2This t-score is from a t-distribution with n−2n-2 degrees of freedom. What is the p-value for this correlation coefficient? p-value = (report answer accurate to at least 4 decimal places) Your final conclusion is that... There is insufficient sample evidence to support the claim the there is a positive correlation between the two variables. There is sufficient sample evidence to support the claim that there is a statistically significant positive correlation between the two variables.
ou wish to determine if there is a positive linear correlation between the two variables at a significance level of α=0.01α=0.01. You have the following bivariate data set. x y 43.4 76.4 23.7 74.4 2.9 76.1 -0.4 59.2 24 72.2 35.6 64.9 20.1 60 35.5 67.5 59.7 71.5 24.3 75.7 32.6 80.1 9.6 62.8 39.8 76.7 -5.5 55.7 49.1 78.6 22.7 69.8 46.4 84.9 12.4 47.4 45.8 69.4 40.5 73.8 38.1 77.4 37.1 70.3 30.4 73.4 download link provided here: Download CSV What is the correlation coefficient for this data set? r = (report answer accurate to at least 3 decimal places) To find the p-value for a correlation coefficient, you need to convert to a t-score:t=r⋅√n−21−r2t=r⋅n-21-r2This t-score is from a t-distribution with n−2n-2 degrees of freedom. What is the p-value for this correlation coefficient? p-value = (report answer accurate to at least 4 decimal places) Your final conclusion is that... There is insufficient sample evidence to support the claim the there is a positive correlation between the two variables. There is sufficient sample evidence to support the claim that there is a statistically significant positive correlation between the two variables.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
You wish to determine if there is a positive
x | y |
---|---|
43.4 | 76.4 |
23.7 | 74.4 |
2.9 | 76.1 |
-0.4 | 59.2 |
24 | 72.2 |
35.6 | 64.9 |
20.1 | 60 |
35.5 | 67.5 |
59.7 | 71.5 |
24.3 | 75.7 |
32.6 | 80.1 |
9.6 | 62.8 |
39.8 | 76.7 |
-5.5 | 55.7 |
49.1 | 78.6 |
22.7 | 69.8 |
46.4 | 84.9 |
12.4 | 47.4 |
45.8 | 69.4 |
40.5 | 73.8 |
38.1 | 77.4 |
37.1 | 70.3 |
30.4 | 73.4 |
download link provided here: Download CSV
What is the
r =
(report answer accurate to at least 3 decimal places)
To find the p-value for a correlation coefficient, you need to convert to a t-score:t=r⋅√n−21−r2t=r⋅n-21-r2This t-score is from a t-distribution with n−2n-2 degrees of freedom.
What is the p-value for this correlation coefficient?
p-value =
(report answer accurate to at least 4 decimal places)
Your final conclusion is that...
- There is insufficient sample evidence to support the claim the there is a
positive correlation between the two variables. - There is sufficient sample evidence to support the claim that there is a statistically significant positive correlation between the two variables.
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