Interpret the assocfation between agea nd math scores in the univariate regression model, and is the association between them significant? How much variance in math score is explained by age in the univariate regression model?
Interpret the assocfation between agea nd math scores in the univariate regression model, and is the association between them significant? How much variance in math score is explained by age in the univariate regression model?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
Interpret the assocfation between agea nd math scores in the univariate regression model, and is the association between them significant?
How much variance in math score is explained by age in the univariate regression model?
![Data
HO
Exploration T-Tests
> Model Builder
Analyses
Linear Regression
Fit Measures
R
R²
Adjusted R²
юн
88
ANOVA Regression Frequencies
> Reference Levels
> Assumption Checks
Model Fit
HOH
юч
Factors
Factor
Overall Model Test
F test
→→
jamovi - SAT FroDis
Linear Regression
Model Fit Measures
1
Model
R
R²
0.215 0.0463
Omnibus ANOVA Test
Sum of Squares
Age
3088
Residuals
63607
Note. Type 3 sum of squares
Model Coefficients - Math
Predictor Estimate
Intercept 402.04
Age
6.92
SE
142.31
df
F
0.874
1
18
t
Overall Model Test
df1
df2
1
Mean Square
3088
3534
2.825
7.40 0.935
Р
0.011
0.362
18
F
0.874
P
0.362
0.215
P
0.362
Stand. Estimate
[3]](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F3a320799-95d9-4e30-88e6-566cae227b49%2F85ae4241-5892-4084-a990-33812be85686%2Fs0fuokk_processed.png&w=3840&q=75)
Transcribed Image Text:Data
HO
Exploration T-Tests
> Model Builder
Analyses
Linear Regression
Fit Measures
R
R²
Adjusted R²
юн
88
ANOVA Regression Frequencies
> Reference Levels
> Assumption Checks
Model Fit
HOH
юч
Factors
Factor
Overall Model Test
F test
→→
jamovi - SAT FroDis
Linear Regression
Model Fit Measures
1
Model
R
R²
0.215 0.0463
Omnibus ANOVA Test
Sum of Squares
Age
3088
Residuals
63607
Note. Type 3 sum of squares
Model Coefficients - Math
Predictor Estimate
Intercept 402.04
Age
6.92
SE
142.31
df
F
0.874
1
18
t
Overall Model Test
df1
df2
1
Mean Square
3088
3534
2.825
7.40 0.935
Р
0.011
0.362
18
F
0.874
P
0.362
0.215
P
0.362
Stand. Estimate
[3]
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