- CFA Exams
- 2023 Level I
- Topic 1. Quantitative Methods
- Learning Module 7. Introduction to Linear Regression

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##### Learning Outcome Statements PDF Download

1. Simple Linear Regressiondescribe a simple linear regression model and the roles of the dependent and independent variables in the model; | |

2. Estimating the Parameters of a Simple Linear Regressiondescribe the least squares criterion, how it is used to estimate regression coefficients, and their interpretation; | |

3. Assumptions of the Simple Linear Regression Modelexplain the assumptions underlying the simple linear regression model, and describe how residuals and residual plots indicate if these assumptions may have been violated; | |

4. Analysis of Variancecalculate and interpret the coefficient of determination and the F-statistic 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; | |

5. Hypothesis Testing of Linear Regression Coefficientsformulate a null and an alternative hypothesis about a population value of a regression coefficient, and determine whether the null hypothesis is rejected at a given level of significance; | |

6. Prediction Using Simple Linear Regression and Prediction Intervalscalculate 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; | |

7. Functional Forms for Simple Linear Regressiondescribe different functional forms of simple linear regressions. |

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