SPSS Assignment # 2

Ericka K. Williams

BUSA 2182, 1:00 p.m. – 1:50 p.m.

Explanatory Paragraph

A stem-and-leaf plot analysis was conducted using group status, attachment, situational involvement,

enduring involvement, identity salience, satisfaction, and attendance. The stem-and-leaf plot for identity

salience, satisfaction, and attendance were consistent with a normal distribution. In contrast, the stem-and-leaf

plot for attachment, situational involvement, and enduring involvement were positively skewed.

SPSS Assignment # 8

Ericka Williams

BUSA 2182, MWF 1:00 p.m. - 1:50 p.m.

Explanatory Paragraph # 1

Ŷ= -18944.1 +2901.211 Education – 11506.7 Female + 387.055 Age

A regression analysis was conducted using Wages as the dependent variable and Education, South,

Female, Married, Union, and Age as the independent variables. The Omnibus F- Test for South, Married, and

Union were not statistically significant. Overall, the regression model was statistically significant ( F = 9.726, p

= .001). With respect to the predictors, Education, South, Married, and Age were positively related to Wages.

However, Female and Union were negatively related to Situation Involvement. The coefficient of determination

(R2 ) was .386, and the coefficient of correlation (r), was .621. The adjusted (R

2) was .346, which indicated no

extraneous predictors were included in the model. Because the standard error of the estimate was 13,706.05, the

prediction equation was performing satisfactorily. The tolerance coefficient for Female and Union were below

the minimum threshold value; therefore multicolinarity was problematic in the regression model.

Figure-1: A Conceptual Model of Wages.

Education

South

Female

Married

Union

Age

Wages

Table-2: Regression Analysis with Wages as the Criterion Variable and Education, South, Female, Married,

Union, and Age as the Predictor Variables (n =100).

Beta T-value Tolerance P-value

Independent

Variables

(Constant) -1.908 .060

Education .478 5.920 .809 .000

South .069 .808 .894 .421

Female -.341 -4.135 .974 .000

Married .131 1.482 .843 .142

Union -.109 -1.254 .878 .213

Age .287 2.959 .702 .004

R-Squared .386

*Significant at the 0.05 level.