The final linear regression model contains multiple covariates and serves to answer the hypothesis. This video demonstrates how to interpret the final model output from PROC GLM to answer the hypothesis. Review how to interpret the slopes for the confounding covariates included in the model.
- [Instructor] Now that we are finished with our final … model, it's time to interpret it. … See? … We have the exercise file named … 515 underscore Stepwise Selection Linear Round Two. … See at the end? I put a note to myself. … The final model is model 33. … So you know what I did? … I copied model 33 into a new code file. … Let's go to your other exercise file … for this movie named … 520 underscore Final Linear Model. … See this note to myself here? … It's that below is model 33. … It's just rearranged so that independent variables … are in the same order as in the descriptive table. … When you do all these different rounds of analysis, … it gets messy, … so it's nice to make a final, clean, orderly model. … You'll see here that all of the covariates in model 33 … are listed in the order they appear in table one. … Of course, not all of them are there … because some of them did not survive the modeling process. … Poor covariates! … Like I said, you win some, you lose some. … Okay, let's highlight and run this model …
Author
Released
4/2/2019- Preparing for linear regression
- Creating plots for testing assumptions
- Linear regression modeling
- Interpreting the linear regression model
- Logistic regression modeling
- Presenting linear and logistic regression models
- Issues in regression
Skill Level Intermediate
Duration
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Introduction
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Introduction to the course1m 52s
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What you should know3m 2s
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1. Preparing for Linear Regression
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Basic PROC GLM code3m 7s
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Reading PROC GLM output5m 56s
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2. Linear Regression Modeling
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Linear regression: Round 16m 32s
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3. Preparing for Logistic Regression
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Outcome distribution2m 29s
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Basic PROC LOGISTIC code3m 39s
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4. Logistic Regression Modeling
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Logistic regression: Round 15m 52s
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5. Model Presentation
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6. Issues in Regression
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Interaction review6m 56s
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7. Regression Tips
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Choosing reference groups5m 10s
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Conclusion
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Review of the process2m 50s
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Next steps5m 40s
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Video: Interpreting linear regression model