2024 CFA Level I Exam: Topic 1. Quantitative Methods - Learning Module 10. Simple Linear Regression

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	1. Estimation of the Simple Linear Regression Model describe a simple linear regression model, how the least squares criterion is used to estimate regression coefficients, and the interpretation of these coefficients
	2. Assumptions of the Simple Linear Regression Model explain the assumptions underlying the simple linear regression model, and describe how residuals and residual plots indicate if these assumptions may have been violated
	3. Analysis of Variance calculate and interpret measures of fit and formulate and evaluate tests off it and of regression coefficients in a simple linear regression
	4. Hypothesis Testing of Linear Regression Coefficients 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. Prediction Using Simple Linear Regression and Prediction Intervals 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
	6. Functional Forms for Simple Linear Regression describe different functional forms of simple linear regressions

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