Suppose that you run a correlation and find the correlation
coefficient is -0.271 and the regression equation is
ˆy=−1.1x+27.56. The mean of your x-values was 6.6. The mean of your
y-values was 19.8.
If the critical value is .505, use the appropriate method to
predict the y value when xx is 7.8
(I already tried 1.1(7.8)+27.56 and got 18.98 and it was wrong)
Here we have to test that
where is population correlation coefficient.
correlation coefficient = r = -0.271
Critical value = 0.505
Here |r| = 0.271 < 0.505
So we do not reject H0.
That means r is not significant. so we cannot use regression equation but we can use (sample mean of y) as best predictor.
Given that mean of y = = 19.8
For each value of x, the predicted value of y will be 19.8
The predicted value of y when x=7.8 is 19.8
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