Linear Regression and Correlation.
x | y |
---|---|
3 | -3.26 |
4 | 2.72 |
5 | 1.2 |
6 | 1.88 |
7 | 0.16 |
8 | -5.66 |
9 | 3.02 |
10 | -6.7 |
11 | -3.92 |
12 | -5.34 |
Compute the equation of the linear regression line in the form y =
mx + b, where m is the slope and b is the intercept.
Use at least 3 decimal places.
y = x +
Compute the correlation coeficient for this data set. Use at least
3 decimal places.
r=
Compute the P-value (Use H_A: slope ≠ 0 for the alterantive
hypothesis.)
P-value =
At the 0.01 significance level, is the correlation significant?
The statistical software output for this problem is:
Hence,
Regression equation:
y = (-0.649) x + 3.278
r = -0.522
P-value = 0.1219
No, the correlation is not significant.
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