The following MINITAB output is for a multiple regression. Something went wrong with the printer, so some of the numbers are missing. Fill in the missing numbers. Predictor Constant X1 X2 X3 S = 0.869 ces Coef -0.58762 SE Coef T P 0.2873 (a) 0.086 1.5102 (b) 4.30 0.005 (c) 0.3944 -0.62 0.560 1.8233 0.3867 (d) 0.003 R-Sq 90.2% Analysis of Variance R-Sq(adj) = 85.3%. Source DF SS MS F P Regression 3 41.76 (e) (f) 0.000 Residual Error 6 (g) 0.76 Total (h) 46.30 (a). t= (b). s (c). B = (Round the final answer to two decimal places. Include a minus sign if necessary.) (Round the final answer to four decimal places.) (Round the final answer to four decimal places. Include a minus sign if necessary.)
The following MINITAB output is for a multiple regression. Something went wrong with the printer, so some of the numbers are missing. Fill in the missing numbers. Predictor Constant X1 X2 X3 S = 0.869 ces Coef -0.58762 SE Coef T P 0.2873 (a) 0.086 1.5102 (b) 4.30 0.005 (c) 0.3944 -0.62 0.560 1.8233 0.3867 (d) 0.003 R-Sq 90.2% Analysis of Variance R-Sq(adj) = 85.3%. Source DF SS MS F P Regression 3 41.76 (e) (f) 0.000 Residual Error 6 (g) 0.76 Total (h) 46.30 (a). t= (b). s (c). B = (Round the final answer to two decimal places. Include a minus sign if necessary.) (Round the final answer to four decimal places.) (Round the final answer to four decimal places. Include a minus sign if necessary.)
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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Question

Transcribed Image Text:The following MINITAB output is for a multiple regression. Something went wrong with the printer, so some of the numbers are
missing. Fill in the missing numbers.
Predictor
Constant
X1
X2
X3
S = 0.869
ces
Coef
-0.58762
SE Coef
T
P
0.2873
(a)
0.086
1.5102
(b)
4.30
0.005
(c)
0.3944
-0.62
0.560
1.8233
0.3867
(d)
0.003
R-Sq 90.2%
Analysis of Variance
R-Sq(adj) = 85.3%.
Source
DF
SS
MS
F
P
Regression
3
41.76
(e)
(f)
0.000
Residual Error
6
(g)
0.76
Total
(h)
46.30
(a). t=
(b). s
(c). B
=
(Round the final answer to two decimal places. Include a minus sign if necessary.)
(Round the final answer to four decimal places.)
(Round the final answer to four decimal places. Include a minus sign if necessary.)
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