Question

In: Statistics and Probability

a. Develop an estimated regression equation for the data of the form . Comment on the adequacy of this equation for predicting . Enter negative value as negative number.

Consider the following data for two variables,  and .

x 6 33 21 17 28
y 12 30 22 16 29

a. Develop an estimated regression equation for the data of the form . Comment on the adequacy of this equation for predicting . Enter negative value as negative number.

The regression equation is
     (to 2 decimals)
(to 3 decimals)   % (to 1 decimal)   % (to 1 decimal)
Analysis of Variance
SOURCE DF SS
(to 2 decimals)
MS
(to 2 decimals)

(to 2 decimals)
-value
(to 4 decimals)
Regression
Residual Error
Total

b. Develop an estimated regression equation for the data of the form . Comment on the adequacy of this equation for predicting . Enter negative value as negative number.

The regression equation is
        (to 2 decimals)
(to 3 decimals) (to 1 decimal) (to 1 decimal)
Analysis of Variance
SOURCE DF SS
(to 3 decimals)
MS
(to 3 decimals)
F
(to 2 decimals)
p-value
(to 4 decimals)
Regression
Residual Error
Total

At the  level of significance, the relationship - Select your answer -isis notItem 34 significant; note that   of the variability in  has been explained by .

c. Predict the value of y when x=9.

(to 2 decimals)

Solutions

Expert Solution

b.

c. When x=9, the predicted value of y=6.36+0.74*9=13.02


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