a.Interpret the slope in this model b.Determine the multiple regression model for this analysis. c.Based on your answer in (b), explain on the strength and the variation of the model

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a.Interpret the slope in this model

b.Determine the multiple regression model for this analysis.

c.Based on your answer in (b), explain on the strength and the variation of the model

Based on the given multiple regression output tables below, answer the following
questions:
Model Summary
Adjusted R
Square
Std. Error of the
Estimate
Durbin-
Model
R
R Square
Watson
1
.842.
.710
.630
109.430
1.158
ANOVA
Sum of
Squares
Model
df
Mean Square
F
Sig.
Regression
321946.82
3
107315.6
8.96
0.0027
Residual
131723.20
11
11974.8
Total
453670.00
14
Coefficients
Standardized
Coefficients
Unstandardized Coefficients
Model
B
Std. Error
Beta
Sig.
(Constant)
657.053
167.46
3.92
.0024
X Variable 1
X Variable 2
X Variable 3
5.7103
1.792
-.101
3.19
.0087
-0.4169
0.322
-.077
-1.29
.2222
-3.4715
1.443
-7.996
-2.41
.0349
Transcribed Image Text:Based on the given multiple regression output tables below, answer the following questions: Model Summary Adjusted R Square Std. Error of the Estimate Durbin- Model R R Square Watson 1 .842. .710 .630 109.430 1.158 ANOVA Sum of Squares Model df Mean Square F Sig. Regression 321946.82 3 107315.6 8.96 0.0027 Residual 131723.20 11 11974.8 Total 453670.00 14 Coefficients Standardized Coefficients Unstandardized Coefficients Model B Std. Error Beta Sig. (Constant) 657.053 167.46 3.92 .0024 X Variable 1 X Variable 2 X Variable 3 5.7103 1.792 -.101 3.19 .0087 -0.4169 0.322 -.077 -1.29 .2222 -3.4715 1.443 -7.996 -2.41 .0349
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