Simple Linear Regression – Part I (2025 CFA® Level I Exam – Quantitative Methods – LM 10)

Master Simple Linear Regression for CFA Level I Quantitative Methods. In this Part 1 lesson you learn least squares, slope and intercept, SSE SSR SST, R squared, F test vs t test, standard error of estimate, model assumptions, homoskedasticity vs heteroskedasticity, serial correlation, and cross sectional vs time series data. We walk through a worked example and show how to read a regression table. Study with AnalystPrep: Levels I, II & III (Lifetime access): https://analystprep.com/shop/cfa-unli... Level I: https://analystprep.com/shop/cfa-leve... Level II: https://analystprep.com/shop/learn-pr... Level III: https://analystprep.com/shop/cfa-leve... Prep Packages for the FRM® Program: FRM Part I & Part II (Lifetime access): https://analystprep.com/shop/unlimite... Topic 1 – Quantitative Methods Learning Module 10 – Simple Linear Regression – Part I LOS : Describe a simple linear regression model, how least squares criterion is used to estimate regression coefficients and interpretation of these coefficients. LOS : Explain the assumptions underlying the simple linear regression model, and describe how residuals and residual plots indicate if these assumptions may have been violated. LOS : Calculate and interpret the measures of fit and evaluate tests of fit and of regression coefficients in a simple linear regression. #CFA #CFALevel1 #QuantitativeMethods #LinearRegression #Statistics #Finance #ExamPrep #AnalystPrep