Question

Based on the output below, interpret whether their is a violation, what the F statistic means, and what r says about the data.

Levene's Test of Equality of Error Variancesa
Dependent Variable:   EXAM SCORE
F	df1	df2	Sig.
9.573	7	192	.000

Tests the null hypothesis that the error variance of the dependent variable is equal across groups.^a

a. Design: Intercept + DEGREE + GENDER + DEGREE * GENDER

Tests of Between-Subjects Effects
Dependent Variable:   EXAM SCORE
Source	Type III Sum of Squares	df	Mean Square	F	Sig.
Corrected Model	7804.300a	7	1114.900	27.608	.000
Intercept	1496104.020	1	1496104.020	37047.179	.000
DEGREE	7702.900	3	2567.633	63.581	.000
GENDER	38.720	1	38.720	.959	.329
DEGREE * GENDER	62.680	3	20.893	.517	.671
Error	7753.680	192	40.384
Total	1511662.000	200
Corrected Total	15557.980	199

Tests of Between-Subjects Effects
Dependent Variable:   EXAM SCORE
Source	Partial Eta Squared	Noncent. Parameter	Observed Powerb
Corrected Model	.502	193.253	1.000
Intercept	.995	37047.179	1.000
DEGREE	.498	190.743	1.000
GENDER	.005	.959	.164
DEGREE * GENDER	.008	1.552	.155
Error
Total
Corrected Total

a. R Squared = .502 (Adjusted R Squared = .483)

b. Computed using alpha = .05

Answer 1

a) Tests the null hypothesis that the error variance of the dependent variable is equal across groups.

The field of score have a significant effect on violation.

R Squared = .502 (Adjusted R Squared = .483)

The field of score applied for had a significant effect on the level of violation experienced even after the effect of the maimum of the score had been accounted for.

b) Computed using alpha = .05

The field of job applied for had a significant relationship with the violation of the score.