Prediction using simple linear regression (for the CFA Level 1 exam)

Prediction using simple linear regression (for the CFA Level 1 exam) walks through: - the computation of the standard error of the forecast and factors affecting its size, as well as - constructing a prediction interval around the dependent variable forecast. This video explores topics covered in Lesson 5, Learning Module 10 of the Quantitative Methods section of the 2026 CFA Level 1 Curriculum. LOS: - 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 For a comprehensive directory of all videos featured on this channel, please visit the channel companion website: www.letmeexplain.eu Let me Explain is a CFA Institute Prep Provider. Only CFA Institute Prep Providers are permitted to make use of CFA Institute copyrighted materials which are the building blocks of the exam. We are also required to create / use updated materials every year and this is validated by CFA Institute. Our products and services substantially cover the relevant curriculum and exam and this is validated by CFA Institute. In our advertising, any statement about the numbers of questions in our products and services relates to unique, original, proprietary questions. CFA Institute Prep Providers are forbidden from including CFA Institute official mock exam questions or any questions other than the end of reading questions within their products and services. CFA Institute does not endorse, promote, review or warrant the accuracy or quality of the product and services offered by Let me Explain. CFA Institute®, CFA® and “Chartered Financial Analyst®” are trademarks owned by CFA Institute.