Hi, sahim Get a 7-day free trial to premium PDF tools. ALL TOOLS Start free trial Export a PDF Edit text & images Convert to PDF Fill & Sign Organize pages Request e-signatures Compress a PDF Combine files Protect a PDF 1 55°F Cloudy Include the Dunding variable in regression models, rita murupie regression model using Days as the Y or dependent variable with independent variables of Hours, Material, the Hrs*mat interaction and the building indicators. What is the R-Squared for this model? Interpret the R-Squared value in the context of the problem. Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.6197 0.3841 0.3272 7.2329 ANOVA a Regression 6 2120.37 ง Residual 65 3400.50 MS 353.40 52.32 6.76 Significance F 1.35522E-05 Total 71 5520.88 Coeficients Standard Erro A Intercept 2.784 1.2800 Stat 2.1749 Hours 3.447 0.6743 5.1126 Material 0.028 0.0070 3.9941 P-value 0.033278892 3.01597E-06 0.000168027 Athletic -1.695 5.1777 Academic -0.007 2.0862 -0.3274 0.744406626 -0.0031 0.997496893 Administrative -2.872 Hrs "mat -0.023 2.5728 0.0055 -1.1164 -4.1746 0.268348176 9.05865E-05 Q Search The R-Squared is 0.3841. This suggests that 32.14% of the variance in time to complete a work order (Days) is explained by the relationship with Hours, Material, Building type and the hours*material interaction. Page: 4 of 10 4 QMM2410 W24 Chp 16 HW problems Solution f) Using the model from part e), make a point prediction for the number of days to complete a work order for an administrative building that requires 3 hours, and $20 of material. Days 2.784+ 3.447(3) + 0.028(20) 1.695(0) 0.007(0) - 2.872(1) -0.023(3*20) = 9.43 g) Using the model from part e), provide a 90% confidence interval on the average number of days to complete a work order for an administrative building that requires 3 hours, and $20 of material. 9.43±1.669 (7.2329) √1/72 => [8.01, 10.85] H W 10 << > ENG 11:04 PM 4/12/2024 PRE
Hi, sahim Get a 7-day free trial to premium PDF tools. ALL TOOLS Start free trial Export a PDF Edit text & images Convert to PDF Fill & Sign Organize pages Request e-signatures Compress a PDF Combine files Protect a PDF 1 55°F Cloudy Include the Dunding variable in regression models, rita murupie regression model using Days as the Y or dependent variable with independent variables of Hours, Material, the Hrs*mat interaction and the building indicators. What is the R-Squared for this model? Interpret the R-Squared value in the context of the problem. Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.6197 0.3841 0.3272 7.2329 ANOVA a Regression 6 2120.37 ง Residual 65 3400.50 MS 353.40 52.32 6.76 Significance F 1.35522E-05 Total 71 5520.88 Coeficients Standard Erro A Intercept 2.784 1.2800 Stat 2.1749 Hours 3.447 0.6743 5.1126 Material 0.028 0.0070 3.9941 P-value 0.033278892 3.01597E-06 0.000168027 Athletic -1.695 5.1777 Academic -0.007 2.0862 -0.3274 0.744406626 -0.0031 0.997496893 Administrative -2.872 Hrs "mat -0.023 2.5728 0.0055 -1.1164 -4.1746 0.268348176 9.05865E-05 Q Search The R-Squared is 0.3841. This suggests that 32.14% of the variance in time to complete a work order (Days) is explained by the relationship with Hours, Material, Building type and the hours*material interaction. Page: 4 of 10 4 QMM2410 W24 Chp 16 HW problems Solution f) Using the model from part e), make a point prediction for the number of days to complete a work order for an administrative building that requires 3 hours, and $20 of material. Days 2.784+ 3.447(3) + 0.028(20) 1.695(0) 0.007(0) - 2.872(1) -0.023(3*20) = 9.43 g) Using the model from part e), provide a 90% confidence interval on the average number of days to complete a work order for an administrative building that requires 3 hours, and $20 of material. 9.43±1.669 (7.2329) √1/72 => [8.01, 10.85] H W 10 << > ENG 11:04 PM 4/12/2024 PRE
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
can anyone please explain part (g) ?what are these number and where did they come from? please refer to the regression anaylsis above since the answer for my question is related it to it
![Hi, sahim
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1 55°F
Cloudy
Include the Dunding variable in regression models, rita murupie regression
model using Days as the Y or dependent variable with independent variables of
Hours, Material, the Hrs*mat interaction and the building indicators. What is the
R-Squared for this model? Interpret the R-Squared value in the context of the
problem.
Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
0.6197
0.3841
0.3272
7.2329
ANOVA
a
Regression
6
2120.37
ง
Residual
65
3400.50
MS
353.40
52.32
6.76
Significance F
1.35522E-05
Total
71
5520.88
Coeficients Standard Erro
A
Intercept
2.784
1.2800
Stat
2.1749
Hours
3.447
0.6743
5.1126
Material
0.028
0.0070
3.9941
P-value
0.033278892
3.01597E-06
0.000168027
Athletic
-1.695
5.1777
Academic
-0.007
2.0862
-0.3274 0.744406626
-0.0031 0.997496893
Administrative
-2.872
Hrs "mat
-0.023
2.5728
0.0055
-1.1164
-4.1746
0.268348176
9.05865E-05
Q Search
The R-Squared is 0.3841. This suggests that 32.14% of the variance in time to
complete a work order (Days) is explained by the relationship with Hours,
Material, Building type and the hours*material interaction.
Page: 4 of 10
4
QMM2410 W24
Chp 16 HW problems
Solution
f) Using the model from part e), make a point prediction for the number of days to
complete a work order for an administrative building that requires 3 hours, and
$20 of material.
Days 2.784+ 3.447(3) + 0.028(20)
1.695(0) 0.007(0) - 2.872(1) -0.023(3*20) = 9.43
g) Using the model from part e), provide a 90% confidence interval on the average
number of days to complete a work order for an administrative building that
requires 3 hours, and $20 of material.
9.43±1.669 (7.2329) √1/72 => [8.01, 10.85]
H
W
10
<< >
ENG
11:04 PM
4/12/2024
PRE](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fdc7b474d-e4b0-467a-b087-a70fd43257dc%2F7749b56c-feee-4cb6-b076-1acb667ddadb%2Fsgoc0ok_processed.png&w=3840&q=75)
Transcribed Image Text:Hi, sahim
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1 55°F
Cloudy
Include the Dunding variable in regression models, rita murupie regression
model using Days as the Y or dependent variable with independent variables of
Hours, Material, the Hrs*mat interaction and the building indicators. What is the
R-Squared for this model? Interpret the R-Squared value in the context of the
problem.
Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
0.6197
0.3841
0.3272
7.2329
ANOVA
a
Regression
6
2120.37
ง
Residual
65
3400.50
MS
353.40
52.32
6.76
Significance F
1.35522E-05
Total
71
5520.88
Coeficients Standard Erro
A
Intercept
2.784
1.2800
Stat
2.1749
Hours
3.447
0.6743
5.1126
Material
0.028
0.0070
3.9941
P-value
0.033278892
3.01597E-06
0.000168027
Athletic
-1.695
5.1777
Academic
-0.007
2.0862
-0.3274 0.744406626
-0.0031 0.997496893
Administrative
-2.872
Hrs "mat
-0.023
2.5728
0.0055
-1.1164
-4.1746
0.268348176
9.05865E-05
Q Search
The R-Squared is 0.3841. This suggests that 32.14% of the variance in time to
complete a work order (Days) is explained by the relationship with Hours,
Material, Building type and the hours*material interaction.
Page: 4 of 10
4
QMM2410 W24
Chp 16 HW problems
Solution
f) Using the model from part e), make a point prediction for the number of days to
complete a work order for an administrative building that requires 3 hours, and
$20 of material.
Days 2.784+ 3.447(3) + 0.028(20)
1.695(0) 0.007(0) - 2.872(1) -0.023(3*20) = 9.43
g) Using the model from part e), provide a 90% confidence interval on the average
number of days to complete a work order for an administrative building that
requires 3 hours, and $20 of material.
9.43±1.669 (7.2329) √1/72 => [8.01, 10.85]
H
W
10
<< >
ENG
11:04 PM
4/12/2024
PRE
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