Use the preparation materials to prepare hand-written answers for the following questions. Please ask any questions on the "Questions -- Preparation Guide" on the course Team (see link on the homepage).
- What is the simple model in a SLR. Express this in symbols, in words, and graphically.
- What is the full model in a SLR. Express this both in symbols, in words, and graphically.
- What is dfTotal for a SLR.
- What is dfWithin for a SLR.
- What is dfAmong for a SLR.
- MSTotal and MSResidual measure the variability of what “entities”?
- How do MSTotal and MSResidual differ?
- MSRegression measures the variability of what “entities”?
- What does a “small” p-value in a SLR mean? Answer this in terms of “signal” and “noise”, variability explained and unexplained (be specific about what is “explaining”), simple and full models, and null and alternative hypotheses.
- What specifically do you conclude if you reject H0 in a SLR?
- What is the definition of the coefficient of determination?
- What function do you use in R to construct the ANOVA table for a SLR?
- [Optional] What questions do you have from this reading that you would like me to address? [Please be as specific as possible. Don't just say "everything" or "I don't understand anything." Of course, you can ask me questions about the reading before class on MS Teams.]