Simple Linear Regression – Part I (2025 CFA® Level I Exam – Quantitative Methods – LM 10)
Автор: AnalystPrep
Загружено: 2025-05-12
Просмотров: 5071
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.
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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
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