Model 1 Model 1 .002 1.91470 a. Predictors: (Constant), AntReg1: Avoid feeling sorry for purchases I make, Satisfaction1: In most ways, my life is close to my ideal, Happy2: Compared to most of my peers, I consider myself happier R .045 Model Regression Residual Total R Square Model Summary 1 (Constant) Adjusted R Square -.011 Sum of Squares Happy2: Compared to most of my peers, I consider myself happier 1.740 861.532 863.272 a. Dependent Variable: Buy2: Not very likely / Very likely b. Predictors: (Constant), AntReg1: Avoid feeling sorry for purchases I make, Satisfaction1: In most ways, my life is close to my ideal, Happy2: Compared to most of my peers, I consider myself happier Satisfaction1: In most ways, my life is close to my ideal Coefficients B 2.645 .007 ANOVA -.016 Std. Error of the Estimate AntReg1: Avoid feeling sorry for purchases I make a. Dependent Variable: Buy2: Not very likely / Very likely Unstandardized Coefficients .049 df 3 235 238 Std. Error .630 .109 .097 Mean Square .074 .580 3.666 Standardized Coefficients Beta F .158 .005 t Sig. 4.202 .000 .067 .947 -.012 -.160 873 Sig. .924⁰ .043 .662 508

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Model
1
R
.045
Model
1
.002
1.91470
a. Predictors: (Constant), AntReg1: Avoid feeling sorry for purchases I make, Satisfaction1:
In most ways, my life is close to my ideal, Happy2: Compared to most of my peers, I
consider myself happier
Model
Regression
Residual
Total
R Square
Model Summary
1 (Constant)
Adjusted R Square
-.011
Sum of Squares
Happy2: Compared to most of my
peers, I consider myself happier
1.740
861.532
863.272
a. Dependent Variable: Buy2: Not very likely / Very likely
b. Predictors: (Constant), AntReg1: Avoid feeling sorry for purchases I make, Satisfaction1: In most ways, my life is close to
my ideal, Happy2: Compared to most of my peers, I consider myself happier
Satisfaction1: In most ways, my life is
close to my ideal
Coefficients
B
2.645
.007
ANOVA
-.016
Std. Error of the
Estimate
AntReg1: Avoid feeling sorry for
purchases I make
a. Dependent Variable: Buy2: Not very likely / Very likely
Unstandardized Coefficients
.049
df
3
235
238
Std. Error
.630
.109
.097
Mean Square
.074
.580
3.666
Standardized
Coefficients
Beta
F
.158
t Sig.
4.202 .000
.005 .067 .947
-.012 -.160 873
Sig.
.924
.043 .662 508
Transcribed Image Text:Model 1 R .045 Model 1 .002 1.91470 a. Predictors: (Constant), AntReg1: Avoid feeling sorry for purchases I make, Satisfaction1: In most ways, my life is close to my ideal, Happy2: Compared to most of my peers, I consider myself happier Model Regression Residual Total R Square Model Summary 1 (Constant) Adjusted R Square -.011 Sum of Squares Happy2: Compared to most of my peers, I consider myself happier 1.740 861.532 863.272 a. Dependent Variable: Buy2: Not very likely / Very likely b. Predictors: (Constant), AntReg1: Avoid feeling sorry for purchases I make, Satisfaction1: In most ways, my life is close to my ideal, Happy2: Compared to most of my peers, I consider myself happier Satisfaction1: In most ways, my life is close to my ideal Coefficients B 2.645 .007 ANOVA -.016 Std. Error of the Estimate AntReg1: Avoid feeling sorry for purchases I make a. Dependent Variable: Buy2: Not very likely / Very likely Unstandardized Coefficients .049 df 3 235 238 Std. Error .630 .109 .097 Mean Square .074 .580 3.666 Standardized Coefficients Beta F .158 t Sig. 4.202 .000 .005 .067 .947 -.012 -.160 873 Sig. .924 .043 .662 508
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