How much variance in math score is explained by age and gender?

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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How much variance in math score is explained by age and gender?

Data Analyses
daļ
ANOVA Regression
Exploration T-Tests
Linear Regression
ID
Verbal
✓ Model Builder
Predictors
Age
Gender
↑
88
Frequencies
Dependent Variable
Math
Covariates
Age
Factors
Gender
Blocks
Block 1
Factor
Gender
Block 2
Age
+ Add New Block
X
Model
1
2
jamovi - SAT FroDis
Model Comparisons
Comparison
Model
1
R
0.0433
0.2275
Model
2
Intercept
Gender:
Omnibus ANOVA Test
R²
0.00187
0.05178
Age
Model Specific Results Model 2
AR²
0.0499
365
Gender
Age
3328
Residuals
63242
Note. Type 3 sum of squares
Model Coefficients - Math
Predictor
Female - Male
Sum of Squares
Estimate
399.95
F
-8.63
7.25
0.0338
0.4641
F
0.895
df
1
1
17
SE
146.17
27.54
7.67
Overall Model Test
df2
df1
1
2
df1
1
Mean Square
365
3328
3720
t
2.736
-0.313
0.946
18
17
df2
17
F
0.0981
0.8947
Р
0.014
0.758
0.357
Р
0.856
0.636
Р
0.357
Р
0.758
0.357
[3]
Stand. Estimate
-0.146
0.226
Transcribed Image Text:Data Analyses daļ ANOVA Regression Exploration T-Tests Linear Regression ID Verbal ✓ Model Builder Predictors Age Gender ↑ 88 Frequencies Dependent Variable Math Covariates Age Factors Gender Blocks Block 1 Factor Gender Block 2 Age + Add New Block X Model 1 2 jamovi - SAT FroDis Model Comparisons Comparison Model 1 R 0.0433 0.2275 Model 2 Intercept Gender: Omnibus ANOVA Test R² 0.00187 0.05178 Age Model Specific Results Model 2 AR² 0.0499 365 Gender Age 3328 Residuals 63242 Note. Type 3 sum of squares Model Coefficients - Math Predictor Female - Male Sum of Squares Estimate 399.95 F -8.63 7.25 0.0338 0.4641 F 0.895 df 1 1 17 SE 146.17 27.54 7.67 Overall Model Test df2 df1 1 2 df1 1 Mean Square 365 3328 3720 t 2.736 -0.313 0.946 18 17 df2 17 F 0.0981 0.8947 Р 0.014 0.758 0.357 Р 0.856 0.636 Р 0.357 Р 0.758 0.357 [3] Stand. Estimate -0.146 0.226
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