You wish to determine if there is a positive linear correlation
between the two variables at a significance level of
α=0.001α=0.001. You have the following bivariate data
set.
x | y |
---|---|
79.4 | 93.7 |
54.6 | 26.9 |
42 | 70.2 |
86.2 | 84.2 |
117.9 | 139.4 |
51.9 | 45.4 |
56.3 | 69.3 |
75.7 | 64.7 |
59.7 | 114.5 |
72.4 | 51.6 |
49.9 | 35.8 |
93.9 | 84.4 |
27.1 | 29.1 |
91.9 | 117.6 |
55.6 | 42.8 |
85.5 | 125.1 |
84.4 | 121.4 |
105.1 | 142.3 |
72.6 | 37.7 |
84.5 | 34.5 |
101.2 | 117.9 |
82.1 | 131.1 |
128.4 | 117.9 |
97.8 | 128.6 |
105.9 | 75.9 |
28.7 | 7.6 |
60 | 98.1 |
90.3 | 89.3 |
78.2 | 96.4 |
72.2 | 60.7 |
65.9 | 33.1 |
What is the correlation coefficient for this data set?
r =
To find the p-value for a correlation coefficient, you need to
convert to a t-score:
t=√r2(n−2)1−r2t=r2(n-2)1-r2
This t-score is from a t-distribution with
n–2 degrees of freedom.
What is the p-value for this correlation coefficient?
p-value =
You wish to determine if there is a positive linear correlation between the two variables at...
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