un two multiple regression analyses, one regressing prejudice toward pro-life activists on both RWA and SDO, and another regressing prejudice toward anti-affirmative action activists on both RWA and SDO. What do you conclude about the effects of RWA and SDO on prejudice toward these groups?

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Run two multiple regression analyses, one regressing prejudice toward pro-life activists on both RWA and SDO, and another regressing prejudice toward anti-affirmative action activists on both RWA and SDO. What do you conclude about the effects of RWA and SDO on prejudice toward these groups? 

 

Model
1
Coefficients
Unstandardized Coefficients
B
Std. Error
(Constant)
79.229
6.068
SDO
-7.067
1.559
RWA
.109
1.630
a. Dependent Variable: antiaffirmative action activists
Standardized
Coefficients
Beta
-.305
.005
t
13.057
-4.534
.067
Sig.
.000
.000
.947
Transcribed Image Text:Model 1 Coefficients Unstandardized Coefficients B Std. Error (Constant) 79.229 6.068 SDO -7.067 1.559 RWA .109 1.630 a. Dependent Variable: antiaffirmative action activists Standardized Coefficients Beta -.305 .005 t 13.057 -4.534 .067 Sig. .000 .000 .947
Model
1
Coefficients
Unstandardized Coefficients
B
Std. Error
114.811
-.832
-16.486
(Constant)
SDO
RWA
a. Dependent Variable: prolifeactivists
6.096
1.574
1.639
Standardized
Coefficients
Beta
-.030
-.573
t
18.834
-.528
-10.059
Sig.
.000
.598
.000
Transcribed Image Text:Model 1 Coefficients Unstandardized Coefficients B Std. Error 114.811 -.832 -16.486 (Constant) SDO RWA a. Dependent Variable: prolifeactivists 6.096 1.574 1.639 Standardized Coefficients Beta -.030 -.573 t 18.834 -.528 -10.059 Sig. .000 .598 .000
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