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Fundamental Statistics
Multiple Regression
Candace
Jasmine
Catherine
Grace
N99C0027
N99C0007
N99C0001
N99C0029
Research Question
Which factor can mostly predict the
students’ learning outcome,
studying hours, motivation or age?
Explanatory Variables:
Learning hours
Level of motivation
Age
Response Variable
Scores on final test
Regression Output (Standard)
Open these buttons
3, 5, For Standard MR
Regression Output (Standard)
Regression Output (Standard)
Regression Output (Standard)
Regression Output (Standard)
R2 > .25 large
Regression Output (Standard)
Under 5
T-test
Y=18.32 + 2.60*LearnHours + 2.74*Motiv +1.70*Age
Regression Output (Sequential)
Open these buttons
2, 4, For Sequential MR
Regression Output (Sequential)
Regression Output (Sequential)
Regression Output (Sequential)
Y= 18.32 + (2.60)*LearnHours + (2.74)*Motiv+(1.70)*Age
Regression Output (Sequential)
Check outliers
Check normality assumption
Look at distribution of residuals, not individual variables
Results and Discussions
Students’ learning outcomes is mostly
predicted by the studying hours, which
explained about 70% of the final test scores.
Age is not an affective variable for predicting
students’ learning outcomes because it only
explained less than 2% of the final test
scores.