Which of the three independent variables are significantly related to sales performance (at a = .05)? State your conclusion and explain how you arrived at that conclusion.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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An HR expert at an insurance company is considering the introduction of personality tests in the process of recruiting sales agents. It is hypothesised that certain personality traits may contribute to being a successful sales agent, and therefore personality profiles can be used to select the best applicants for open positions.

The introduction of personality measures in the recruitment process, however, is only meaningful if there is evidence that certain personality characteristics are related to job performance. To test whether success in this occupation is related to personality features, the expert conducts a study, in which a random sample of currently employed sales agents fill in a questionnaire measuring three traits: (1) extraversion, (2) conscientiousness and (3) agreeableness.

Each trait is measured on a scale ranging between 0 and 10 points. To test whether the annual total value of insurance policies sold by an agent can be predicted from personality scores, a multiple linear regression model is constructed, in which an agent's 12-month total sales (in thousand euros) serve as the dependent variable and the agent's scores on the three personality dimensions function as the independent variables. The analysis is conducted in SPSS. The printout is shown below.

 

[Attachment image]

 

The researcher has decided to conduct all tests at the .05 level of significance. It can be seen in the output that the global test of utility yields a significant result. Therefore, the researcher can carry on with the analysis and test the significance of the individual predictors.

Which of the three independent variables are significantly related to sales performance (at a = .05)?
State your conclusion and explain how you arrived at that conclusion.

R
.657ª
Model
Model Summary
Regression
Residual
R Square
.431
Model
1
a. Predictors: (Constant), Agreeableness, Extraversion,
Conscientiousness
Adjusted R
Square
Sum of
Squares
11952.471
15754.729
27707.200
.325
ANOVA
df
3
Std. Error of
the Estimate
31.379
16
19
Mean Square
3984.157
984.671
F
4.046
Total
a. Dependent Variable: Sales (thousand euros)
b. Predictors: (Constant), Agreeableness, Extraversion, Conscientiousness
Sig.
026b
Transcribed Image Text:R .657ª Model Model Summary Regression Residual R Square .431 Model 1 a. Predictors: (Constant), Agreeableness, Extraversion, Conscientiousness Adjusted R Square Sum of Squares 11952.471 15754.729 27707.200 .325 ANOVA df 3 Std. Error of the Estimate 31.379 16 19 Mean Square 3984.157 984.671 F 4.046 Total a. Dependent Variable: Sales (thousand euros) b. Predictors: (Constant), Agreeableness, Extraversion, Conscientiousness Sig. 026b
Model
1
Regression
Residual
Model
Sum of
Squares
11952.471
(Constant)
Extraversion
15754.729
27707.200
ANOVA
df
Conscientiousness
Agreeableness
3
16
19
Total
a. Dependent Variable: Sales (thousand euros)
b. Predictors: (Constant), Agreeableness, Extraversion, Conscientiousness
Mean Square
3984.157
984.671
Coefficients
27.002
4.386
.722
6.906
a. Dependent Variable: Sales (thousand euros)
Unstandardized Coefficients
B
Std. Error
F
4.046
18.858
3.042
2.530
2.594
Standardized
Coefficients
Beta
280
.055
522
Sig.
.026b
t
1.432
1.442
285
2.663
Sig.
171
169
.779
.017
Transcribed Image Text:Model 1 Regression Residual Model Sum of Squares 11952.471 (Constant) Extraversion 15754.729 27707.200 ANOVA df Conscientiousness Agreeableness 3 16 19 Total a. Dependent Variable: Sales (thousand euros) b. Predictors: (Constant), Agreeableness, Extraversion, Conscientiousness Mean Square 3984.157 984.671 Coefficients 27.002 4.386 .722 6.906 a. Dependent Variable: Sales (thousand euros) Unstandardized Coefficients B Std. Error F 4.046 18.858 3.042 2.530 2.594 Standardized Coefficients Beta 280 .055 522 Sig. .026b t 1.432 1.442 285 2.663 Sig. 171 169 .779 .017
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