Model 1 Regression Residual Model 1 Sum of Squares 10333.355 (Constant) Extraversion 24242.384 34575.739 ANOVA Conscientiousness Agreeableness df Total a. Dependent Variable: Sales (thousand euros) b. Predictors: (Constant), Agreeableness, Extraversion, Conscientiousness 3 19 22 34.883 5.149 4.482 .628 Mean Square 3444.452 1275.915 Coefficients a Unstandardized Coefficients B Std. Error a. Dependent Variable: Sales (thousand euros) F 2.700 24.005 2.702 2.613 3.054 Standardized Coefficients Beta .376 .339 .040 Sig. .075b t 1.453 1.905 1.716 .205 Sig. .163 .072 .102 .839 The output contains the results of several statistical tests. Which of these tests must be checked first? Conduct this test at the .05 level of significance. State your conclusion and explain how you arrived at that conclusion. Interpret the result of the test as it applies to personality dimensions and sales performance.
Model 1 Regression Residual Model 1 Sum of Squares 10333.355 (Constant) Extraversion 24242.384 34575.739 ANOVA Conscientiousness Agreeableness df Total a. Dependent Variable: Sales (thousand euros) b. Predictors: (Constant), Agreeableness, Extraversion, Conscientiousness 3 19 22 34.883 5.149 4.482 .628 Mean Square 3444.452 1275.915 Coefficients a Unstandardized Coefficients B Std. Error a. Dependent Variable: Sales (thousand euros) F 2.700 24.005 2.702 2.613 3.054 Standardized Coefficients Beta .376 .339 .040 Sig. .075b t 1.453 1.905 1.716 .205 Sig. .163 .072 .102 .839 The output contains the results of several statistical tests. Which of these tests must be checked first? Conduct this test at the .05 level of significance. State your conclusion and explain how you arrived at that conclusion. Interpret the result of the test as it applies to personality dimensions and sales performance.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Transcribed Image Text:Model
1
Regression
Residual
Model
1
Sum of
Squares
10333.355
24242.384
34575.739
(Constant)
Extraversion
ANOVA
Conscientiousness
Agreeableness
df
Total
a. Dependent Variable: Sales (thousand euros)
b. Predictors: (Constant), Agreeableness, Extraversion, Conscientiousness
3
19
22
34.883
5.149
4.482
.628
Mean Square
3444.452
1275.915
Coefficientsa
Unstandardized Coefficients
B
Std. Error
a. Dependent Variable: Sales (thousand euros)
F
2.700
24.005
2.702
2.613
3.054
Standardized
Coefficients
Beta
.376
.339
.040
Sig.
.075b
t
1.453
1.905
1.716
.205
Sig.
.163
072
.102
.839
The output contains the results of several statistical tests. Which of these tests must be checked
first? Conduct this test at the .05 level of significance. State your conclusion and explain how you
arrived at that conclusion. Interpret the result of the test as it applies to personality dimensions and
sales performance.
Transcribed Image Text: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.
Model
1
R
.547ª
Model Summary
R Square
.299
Adjusted R
Square
.188
Std. Error of
the Estimate
35.720
a. Predictors: (Constant), Agreeableness, Extraversion,
Conscientiousness
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