Do the following as indicated: (Use the data below) 1. Report the assumption check and its interpretation just select only one test. (First Paragraph) 2. Give the complete report of the results of the Multiple Linear Regression Analysis such as the dependent variable is the IQ of the son and its independent variables are the IQ of the fathers and the IQ of the mothers. (Second Paragraph) 3. Give your analysis. (Third Paragraph)

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Heteroskedasticity Tests
Statistic
Breusch-Pagan
16.3
< .001
Goldfeld-Quandt
0.287
0.999
Harrison-McCabe
0.761
1.000
Note. Additional results provided by moretests
Durbin-Watson Test for Autocorrelation
Autocorrelation DW Statistic p
0.0168
1.96
0.832
Collinearity Statistics
VIE Tolerance
IQ (Father) 4.82 0.208
IQ (Mother) 4.82 0.208
Transcribed Image Text:Heteroskedasticity Tests Statistic Breusch-Pagan 16.3 < .001 Goldfeld-Quandt 0.287 0.999 Harrison-McCabe 0.761 1.000 Note. Additional results provided by moretests Durbin-Watson Test for Autocorrelation Autocorrelation DW Statistic p 0.0168 1.96 0.832 Collinearity Statistics VIE Tolerance IQ (Father) 4.82 0.208 IQ (Mother) 4.82 0.208
Do the following as indicated: (Use the data below)
1. Report the assumption check and its interpretation just select only one test. (First Paragraph)
2. Give the complete report of the results of the Multiple Linear Regression Analysis such as the dependent variable is the IQ of the son and its
independent variables are the IQ of the fathers and the IQ of the mothers. (Second Paragraph)
3. Give your analysis. (Third Paragraph)
Linear Regression
Model Fit Measures
Overall Model Test
Model R
R?
df1 df2 p
1
0.976 0.953 640 2 63 <.001
Model Coefficients - IQ (Son)
Predictor
Estimate SE
t
Stand. Estimate
Intercept
-11.407 3.3748 -3.38 0.001
IQ (Father) 0.299
IQ (Mother) 0.800
0.0658 4.54 < .001 0.272
0.0659 12.13 < .001 0.726
Assumption Checks
Normality Tests
Statistic p
Shapiro-Wilk
0.961
0.038
Kolmogorov-Smirnov
0.0986
0.511
Anderson-Darling
0.867
0.025
Note. Additional results provided by moretests
Transcribed Image Text:Do the following as indicated: (Use the data below) 1. Report the assumption check and its interpretation just select only one test. (First Paragraph) 2. Give the complete report of the results of the Multiple Linear Regression Analysis such as the dependent variable is the IQ of the son and its independent variables are the IQ of the fathers and the IQ of the mothers. (Second Paragraph) 3. Give your analysis. (Third Paragraph) Linear Regression Model Fit Measures Overall Model Test Model R R? df1 df2 p 1 0.976 0.953 640 2 63 <.001 Model Coefficients - IQ (Son) Predictor Estimate SE t Stand. Estimate Intercept -11.407 3.3748 -3.38 0.001 IQ (Father) 0.299 IQ (Mother) 0.800 0.0658 4.54 < .001 0.272 0.0659 12.13 < .001 0.726 Assumption Checks Normality Tests Statistic p Shapiro-Wilk 0.961 0.038 Kolmogorov-Smirnov 0.0986 0.511 Anderson-Darling 0.867 0.025 Note. Additional results provided by moretests
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