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.

Trigonometry (MindTap Course List)
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Author:Charles P. McKeague, Mark D. Turner
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Chapter4: Graphing And Inverse Functions
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Problem 6GP: If your graphing calculator is capable of computing a least-squares sinusoidal regression model, use...
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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
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.
Transcribed Image Text: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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