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)
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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.