Comment on the changes in the variables scores the


In this problem, a regression has been performed that examines whether or not one can predict if a student wants a lecturer to be extroverted using the student's extroversion score. Using the attached tables, please interpret the results (but not the Variables Entered/Removed Table). There are three-four questions but no calculations.

Comment on the changes in the variables scores. The correlation coefficient (r) and the coefficient of determination (r2) found in the Model Summary indicate the strength of the linear trend between the variables. What is it? Also, the significance value in the ANOVA table indicates whether the changes in the dependent-variable scores that accompany changes in independent variable scores are significant. Are they? Lastly, the Coefficients Table provides the y-intercept and the slope for the regression equation. What is it?

Variables Entered/Removeda

Model

Variables Entered

Variables Removed

Method

1

Student Extroversionb

.

Enter

a. Dependent Variable: Student wants Extroversion in lecturers

b. All requested variables entered.

Descriptive Statistics

 

Mean

Std. Deviation

N

Student wants Extroversion in lecturers

12.9288

6.89891

281

Student Extroversion

29.5160

6.61605

281

Model Summary

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

1

.153a

.023

.020

6.82989

a. Predictors: (Constant), Student Extroversion

ANOVAa

 

Model

Sum of Squares

df

Mean Square

F

Sig.

 

1

Regression

311.947

1

311.947

6.687

.010b

 

Residual

13014.630

279

46.647

 

 

 

Total

13326.577

280

 

 

 

 

a. Dependent Variable: Student wants Extroversion in lecturers

 

b. Predictors: (Constant), Student Extroversion

 

 

Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

B

Std. Error

Beta

1

(Constant)

8.220

1.866

 

4.405

.000

Student Extroversion

.160

.062

.153

2.586

.010

a. Dependent Variable: Student wants Extroversion in lecturers














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