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| Name | Multiple Regression (2022 Level II CFA® Exam – Reading 2) |
| Video Uploader | Video From AnalystPrep |
| Upload Date | This Video Uploaded At 23-12-2021 14:00:28 |
| Video Discription | Prep Packages for the CFA® Program offered by AnalystPrep (study notes, video lessons, question bank, mock exams, and much more): Level I: https://analystprep.com/shop/cfa-level-1-learn-practice-package/ Level II: https://analystprep.com/shop/learn-practice-package-for-level-ii-of-the-cfa-exam-by-analystprep/ Levels I, II & III (Lifetime access): https://analystprep.com/shop/cfa-unlimited-package-for-level-1-2-3/ Prep Packages for the FRM® Program: FRM Part I & Part II (Lifetime access): https://analystprep.com/shop/unlimited-package-for-frm-part-i-part-ii/ Topic 1 – Quantitative Methods Readings 2 – Multiple Regression 0:00 Introduction and Learning Outcome Statements 0:54 LOS: Formulate a multiple regression equation to describe the relation between a dependent variable and several independent variables and determine the statistical significance of each independent variable 3:24 LOS: Interpret estimated regression coefficients and their p-values; 6:12 LOS: Formulate a null and an alternative hypothesis about the population value of a regression coefficient, calculate the value of the test statistic, and determine whether to reject the null hypothesis at a given level of significance; 11:57 LOS: Interpret the results of hypothesis tests of regression coefficients; 13:40 LOS: Calculate and interpret a predicted value for the dependent variable, given an estimated regression model and assumed values for the independent variables; 16:44 LOS: Explain the assumptions of a multiple regression model 17:45 LOS: Calculate and interpret the F-statistic, and describe how it is used in regression analysis 23:15 LOS: Contrast and interpret the R2 and adjusted R2 in multiple regressions 27:47 LOS: Evaluate how well a regression model explains the dependent variable by analyzing the output of the regression equation and an ANOVA table; 32:15 LOS: Formulate and interpret a multiple regression equation by using dummy variables to represent qualitative factors and interpret the coefficients and regression results 39:12 LOS: Explain the types of heteroskedasticity and how heteroskedasticity and serial correlation affect statistical inference; 43:50 LOS: Describe multicollinearity and explain its causes and effects in regression analysis; 47:22 LOS: Describe how model misspecification affects the results of regression analysis and describe how to avoid common forms of misspecification; 48:59 LOS: Describe models with qualitative dependent variables 50:41 LOS: Evaluate and interpret a multiple regression model and its results |
| Category | Education |
| Tags | cfa | cfa institute | cfa level 2 | cfa level ii | Linear Regression | quantitative methods | Multiple Regression | F–statistic | p-value | null and an alternative hypothesis | R2 | adjusted R2 | heteroskedasticity | confidence interval | multicollinearity | statistical inference | multiple regression model | each independent variable |
