The accompanying data resulted from a study of the relationship between y = brightness of finished paper and the independent variables x1 = hydrogen peroxide (% by weight), x2 = sodium hydroxide (% by weight), x3 = silicate (% by weight), and x4 = process temperature.† Find the estimated regression equation for the model that includes all independent variables, all quadratic terms, and all interaction terms. (Round your numerical values to five decimal places.) ŷ = Calculate the test statistic and the P-value. (Round your answer to four decimal places.) F = P-value =
The accompanying data resulted from a study of the relationship between y = brightness of finished paper and the independent variables x1 = hydrogen peroxide (% by weight), x2 = sodium hydroxide (% by weight), x3 = silicate (% by weight), and x4 = process temperature.† Find the estimated regression equation for the model that includes all independent variables, all quadratic terms, and all interaction terms. (Round your numerical values to five decimal places.) ŷ = Calculate the test statistic and the P-value. (Round your answer to four decimal places.) F = P-value =
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
The accompanying data resulted from a study of the relationship between y = brightness of finished paper and the independent variables x1 = hydrogen peroxide (% by weight), x2 = sodium hydroxide (% by weight), x3 = silicate (% by weight), and x4 = process temperature.†
Find the estimated regression equation for the model that includes all independent variables, all quadratic terms, and all interaction terms. (Round your numerical values to five decimal places.)
ŷ =
Calculate the test statistic and the P-value. (Round your answer to four decimal places.)
F =
P-value =

Transcribed Image Text:X1
X2
X3 X4
y
X1
X2
X3
X4
y
0.2
0.2
1.5
145
83.9
0.1
0.3
2.5
160
82.9
0.4
0.2
1.5
145
84.9
0.5
0.3
2.5
160
85.5
0.2
0.4
1.5
145
83.4
0.3
0.1
2.5
160
85.2
0.4
0.4
1.5
145
84.2
0.3
0.5
2.5
160
84.5
0.2
0.2
3.5
145
83.8
0.3
0.3
0.5
160
84.7
0.4
0.2
3.5
145
84.7
0.3
0.3
4.5
160
85.0
0.2
0.4
3.5
145
84.0
0.3
0.3
2.5
130
84.9
0.4
0.4
3.5
145
84.8
0.3
0.3
2.5
190
84.0
0.2
0.2
1.5
175
84.5
0.3
0.3
2.5
160
84.5
0.4
0.2
1.5
175
86.0
0.3
0.3
2.5
160
84.7
0.2
0.4
1.5
175
82.6
0.3
0.3
2.5
160
84.6
0.4
0.4
1.5
175
85.1
0.3
0.3
2.5
160
84.9
0.2
0.2
3.5
175
84.5
0.3
0.3
2.5
160
84.9
0.4
0.2
3.5
175
86.0
0.3
0.3
2.5
160
84.5
0.2
0.4
3.5
175
84.0
0.3
0.3
2.5
160
84.6
0.4
0.4
3.5
175
85.4
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