Model 1 Regression Residual Total a. Dependent Variable: weight b. Predictors: (Constant), tall, age Model 1 Sum of Squares (Constant) 1063.326 53.778 1117.104 -4.144 .752 .164 ANOVA age tall a. Dependent Variable: weight df 2 38 40 Unstandardized Coefficients B Std. Error Coefficients 1.078 .217 .019 a Mean Square 531.663 1.415 Standardized Coefficients Beta 288 .707 F 375.676 t -3.846 3.463 8.498 Sig. .000b Sig. .000 .001 .000

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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Explain these tables to me in detail
n
les Entered
Summary
1
ients
Model
1
Model
1
mrage
Regression
Residual
Total
a. Dependent Variable: weight
b. Predictors: (Constant), tall, age
(Constant)
Sum of
Squares
1063.326
53.778
1117.104
-4.144
.752
164
ANOVA
age
tall
a. Dependent Variable: weight
df
2
38
40
Unstandardized Coefficients
B
Std. Error
Coefficients
1.078
217
.019
Mean Square
531.663
1.415
Standardized
Coefficients
Beta
.288
.707
F
375.676
t
-3.846
3.463
8.498
Sig.
.000
Sig.
.000
.001
.000
Transcribed Image Text:n les Entered Summary 1 ients Model 1 Model 1 mrage Regression Residual Total a. Dependent Variable: weight b. Predictors: (Constant), tall, age (Constant) Sum of Squares 1063.326 53.778 1117.104 -4.144 .752 164 ANOVA age tall a. Dependent Variable: weight df 2 38 40 Unstandardized Coefficients B Std. Error Coefficients 1.078 217 .019 Mean Square 531.663 1.415 Standardized Coefficients Beta .288 .707 F 375.676 t -3.846 3.463 8.498 Sig. .000 Sig. .000 .001 .000
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