The following output from MINITAB presents the results from computing a least-squares regression line.The regression equation isY = 4.99971 + 0.20462 XPredictorСoefSE CoefTPConstant4.999710.02477201.810.000X0.204620.0111518.360.000a. Write the equation of the least-squares regression line.b. Predict the value of y when the x-value is 25.

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The following output from MINITAB presents the results from computing a least-squares regression line. The regression equation is Y = 4.99971 + 0.20462 X Predictor Coef SE Coef Constant 4.99971 0.02477 201.81 0.000 X 0.20462 0.01115 18.36 0.000 Write the equation of the least-squares regression line. . Predict the value of y when the x-value is 25.

The following output from MINITAB presents the results from computing a least-squares regression line. The regression equation is Y = 4.99971 + 0.20462 X Predictor Coef SE Coef Constant 4.99971 0.02477 201.81 0.000 X 0.20462 0.01115 18.36 0.000 Write the equation of the least-squares regression line. . Predict the value of y when the x-value is 25.

Elementary Linear Algebra (MindTap Course List)

8th Edition

ISBN:9781305658004

Author:Ron Larson

Publisher:Ron Larson

Chapter5: Inner Product Spaces

Section5.CR: Review Exercises

Problem 62CR

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Question

The following output from MINITAB presents the results from computing a least-squares regression line.
The regression equation is
Y = 4.99971 + 0.20462 X
Predictor
Сoef
SE Coef
T
P
Constant
4.99971
0.02477
201.81
0.000
X
0.20462
0.01115
18.36
0.000
a. Write the equation of the least-squares regression line.
b. Predict the value of y when the x-value is 25.

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