Given the following data set: X: 3 7 9 11 15 Y: 11 16 16 16 16
a. Find the correlation coefficient.
b. What is the regression equation?
c. Using the regression to predict the value of Y when X = 11.
d. What is the predicted residual when X = 11?
e. Find the root mean square error.
a)
correlation coefficient r =0.7500
b)
regression equation : yhat =11.625+0.375*x
c)
predicted value =11.625+0.375*11=15.75
d) residual =actual-predicted =16-15.75 =0.25
e)
SSE =Syy-(Sxy)2/Sxx= | 8.7500 |
error Variance σ2 = | s2 =SSE/(n-2) | = | 2.9167 | |
root mean square error σ = | se =√s2 | = | 1.7078 |
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