Run a regression analysis on the following bivariate set of data with y as the response variable.
x | y |
---|---|
107.8 | -31.6 |
73.5 | 10.7 |
102 | -13.1 |
44.7 | 66.8 |
89.7 | 2.9 |
72.7 | 46.1 |
76.4 | 6.7 |
76.1 | 22.6 |
92.2 | -0.7 |
85.4 | 11.7 |
98 | -8.2 |
89.8 | 1.9 |
66.2 | 77.1 |
80.6 | 21.3 |
43.4 | 92.9 |
Verify that the correlation is significant at an α=0.05α=0.05.
If the correlation is indeed significant, predict what value (on
average) for the explanatory variable will give you a value of -4.3
on the response variable.
What is the predicted explanatory value?
x =
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The scatter plot and the linear regression line of best-fit is given below:
The equation is :
y' = -1.755x + 160.7, where y = -4.3 in our case
-4.3 = -1.755x+160.7
x = (-4.3-160.7)/(-1.755) = 94.017
Answer: x = 94.017
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