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
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ISBN:9781119256830
Author:Amos Gilat
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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]
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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