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-
Welcome
- Welcome to Inferential Statistics with R
- Introduction to the Dataset
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t-tests
- Independent t-test
- Dependent t-test
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One-Way ANOVA
- One-Way ANOVA
- Post Hoc Comparisons
- Other ANOVA Tests
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Chi-Square
- Chi-Square
- Dealing with Small Cells
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Correlation
- Correlation
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Regression
- Linear Regression
- Multiple Regression
- Hierarchical Regression
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Reliability
- Reliability
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Reporting Results
- Extracting Output
- Reporting Results
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Testing Assumptions
- Testing Assumptions
- Testing for Normality
- Testing for Homogeneity of Variance
- Violated Assumptions
Inferential Statistics with R
Multiple Regression
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This lesson is called Multiple Regression, part of the Inferential Statistics with R course. This lesson is called Multiple Regression, part of the Inferential Statistics with R course.
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Transcript
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Your Turn
Perform a multiple regression examining how both iq and act_science predict act_reading. Ask for standardized coefficients before calling for the summary of results. Which (if any) of the IVs are significant predictors? Based on the standardized coefficient, which is the stronger predictor of ACT readings cores?
Learn More
Read more about the lm() function in the stats package.
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