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Quantitative Methods
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CFA L2: Quantitative Methods – Introduction
Quants: Correlation Analysis
Quants: Single Variable Linear Regression Analysis
Standard Error of the Estimate or SEE
Confidence Intervals (CI) for Dependent Variable Prediction
Coefficient of Determination (R-Squared)
Analysis of Variance or ANOVA
Multiple Regression Analysis
Multiple Regression and Coefficient of Determination (R-Squared)
Fcalc – the Global Test for Regression Significance
Regression Analysis and Assumption Violations
Qualitative and Dummy Variables in Regression Modeling
Time Series Analysis: Simple and Log-linear Trend Models
Auto-Regressive (AR) Time Series Models
Auto-Regressive Models – Random Walks and Unit Roots
ARMA Models and ARCH Testing
How to Select the Most Appropriate Time Series Model?