Learning Module 10 of Quantitative Methods 6–9% of the exam
Simple Linear Regression
5 lessons. About 0 minutes in cram mode, 0 minutes in full.
Lessons for this module are being written. The outcomes and lesson plan below are final.
Lessons
- 1 Estimation of the Simple Linear Regression Model
Coming soon
- 2 Assumptions of the Simple Linear Regression Model
Coming soon
- 3 Hypothesis Tests in the Simple Linear Regression Model
Coming soon
- 4 Prediction in the Simple Linear Regression Model
Coming soon
- 5 Functional Forms for Simple Linear Regression
Coming soon
What the exam expects you to do
- Describe a simple linear regression model, how the least squares criterion is used to estimate regression coefficients, and the interpretation of these coefficients.
- Explain the assumptions underlying the simple linear regression model, and describe how residuals and residual plots indicate if these assumptions may have been violated.
- Calculate and interpret measures of fit and formulate and evaluate tests of fit and of regression coefficients in a simple linear regression.
- Describe the use of analysis of variance (ANOVA) in regression analysis, interpret ANOVA results, and calculate and interpret the standard error of estimate in a simple linear regression.
- Calculate and interpret the predicted value for the dependent variable, and a prediction interval for it, given an estimated linear regression model and a value for the independent variable.
- Describe different functional forms of simple linear regressions.