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In the following MINITAB output, some of the numbers have been accidentally erased. Recompute them, using the numbers still available. There are n = 25 points in the data set. The regression_equation is Y = 1.71 + 4.27 X Predictor Constant Coef 1.71348 4.27473 SE Coef 6.69327 (с) (a 3.768 S - 0.05749 R-Sq - 38.2%

In the following MINITAB output, some of the numbers have been accidentally erased. Recompute them, using the numbers still available. There are n = 25 points in the data set. The regression_equation is Y = 1.71 + 4.27 X Predictor Constant Coef 1.71348 4.27473 SE Coef 6.69327 (с) (a 3.768 S - 0.05749 R-Sq - 38.2%

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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In the following MINITAB output, some of the numbers have been accidentally erased. Recompute them, using the numbers still available. There are n = 25 points in the data set. The regression_equation is Y = 1.71 + 4.27 X Predictor Constant Coef 1.71348 4.27473 SE Coef 6.69327 (с) (a 3.768 S - 0.05749 R-Sq - 38.2%
Transcribed Image Text:In the following MINITAB output, some of the numbers have been accidentally erased. Recompute them, using the numbers still available. There are n = 25 points in the data set. The regression_equation is Y = 1.71 + 4.27 X Predictor Constant Coef 1.71348 4.27473 SE Coef 6.69327 (с) (a 3.768 S - 0.05749 R-Sq - 38.2%
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