I need help with these questions 1. is the factor interaction significant?2. are the main effects significant?3. does the covariate significantly influence the DV? Tests of Between-Subjects EffectsDependent Variable: rincom2Type III Sumof Squares2740.349ª4462.685332.343251.9521306.09777.7959460.866150407.00012201.214SourceCorrected ModelIntercepthrs2sexdegreesex * degreeErrorTotalCorrected TotaldfF1019.5511 4462.685318.3971332.34323.7121251.95217.9764326.524 23.296419.4491.38814.016675686685Mean Square274.035Sig..000.000.000.000.000.237

Answered: I need help with these questions 1.…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Question

I need help with these questions

1. is the factor interaction significant?

2. are the main effects significant?

3. does the covariate significantly influence the DV?

Tests of Between-Subjects Effects
Dependent Variable: rincom2
Type III Sum
of Squares
2740.349ª
4462.685
332.343
251.952
1306.097
77.795
9460.866
150407.000
12201.214
Source
Corrected Model
Intercept
hrs2
sex
degree
sex * degree
Error
Total
Corrected Total
df
F
10
19.551
1 4462.685
318.397
1
332.343
23.712
1
251.952
17.976
4
326.524 23.296
4
19.449
1.388
14.016
675
686
685
Mean Square
274.035
Sig.
.000
.000
.000
.000
.000
.237

Definition Definition Measure of how two random variables change together. Covariance indicates the joint variability or the directional relationship between two variables. When two variables change in the same direction (i.e., if they either increase or decrease together), they have a positive covariance. When the change is in opposite directions (i.e., if one increases and the other decreases), the two variables have a a negative covariance.

Expert Solution

Step 1: Part 1

From the given ANOVA table it is evident that the p-value (Sig.) for the interaction effect (sex*degree) is 0.237 which is less than 0.05 (significance level). Therefore, the null hypothesis of no interaction effect is not rejected. We can conclude that the factor interaction is not significant.