In: Statistics and Probability
You wish to determine if there is a 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 |
---|---|
53.8 | 140.7 |
59.6 | 106.5 |
91.7 | 8.3 |
85.5 | 23 |
93.1 | 42.2 |
77.7 | 48.3 |
71.4 | 86.7 |
69.5 | 85.1 |
80.9 | 59.1 |
62.5 | 112.7 |
79.6 | 103 |
76.6 | 69 |
76.1 | 32.1 |
What is the critival value for this hypothesis test?
rc.v. =
What is the correlation coefficient for this data set?
r =
Your final conclusion is that...
Note: Round to three decimal places when necessary.
The statistical software output for this problem is :
n = 13
df = 13 - 2 = 11
critical value = 0.634
r = -0.859
There is sufficient sample evidence to support the claim that there is a
statistically significant correlation between the two variables.
Simple linear regression results: Dependent Variable: y Independent Variable: x y=285.99556 - 2.8642559 x Sample size: 13 R (correlation coefficient) = -0.858901 R-q -0.73771093 Estimate of error standard deviation: 21.038261 Parameter estimates: Parameter Estimate Std. Err. Intercept 285.99556 39.176817 Slope -2.8642559 0.51494691 Alternative DF T-Stat P-value 0 11 7.3001225 <0.0001 +0 11 -5.5622353 0.0002