CFA二级考纲中的Quantitative Method科目变化是怎样的，2022年CFA考纲已经出来，报考2022年CFA二级考试的考生要选弄清楚CFA二级考纲的变化，那是怎样的呢？和小编一起看看吧！
原内容：Reading 4 Introduction to Linear Regression by Richard A. DeFusco, PhD, CFA,Dennis W. McLeavey, DBA, CFA, Jerald E. Pinto, PhD, CFA, and David E. Runkle, PhD, CFA
变化为： Reading 1 Introduction to Linear Regression by Pamela Peterson Drake, PhD, CFA
原内容： Reading 4
a) distinguish between the dependent and independent variables in a linear regression;
b） explain the assumptions underlying linear regression and interpret regression coefficients;
c） calculate and interpret the standard error of estimate, the coefficient of determination,and a confidence interval for a regression coefficient;
d) formulate a null and alternative hypothesis about a population value of a regression coefficient and determine the appropriate test statistic and whether the null hypothesis is rejected at a given level of significance;
e） calculate the predicted value for the dependent variable, given an estimated regression model and a value for the independent variable;
f) calculate and interpret a confidence interval for the predicted value of the dependent variable;
g) describe the use of analysis of variance (ANOVA) in regression analysis, interpret ANOVA results, and calculate and interpret the F-statistic;
h) describe limitations of regression analysis.
变化为： Reading 1
a) describe a simple linear regression model and the roles of the dependent and independent variables in the model;
b) describe the least squares criterion, how it is used to estimate regression coefficients, and their interpretation;
c) explain the assumptions underlying the simple linear regression model, and describe how residuals and residual plots indicate if these assumptions may have been violated;
d) calculate and interpret the coefficient of determination and the F-statistic in a simple linear regression;
e) 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;
f) formulate a null and an alternative hypothesis about a population value of a regression coefficient, and determine whether the null hypothesis is rejected at a given level of significance;
g） 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;
h） describe different functional forms of simple linear regressions.
Reading 2 Multiple Regression(原为Reading 5)；
e) calculate and interpret 1) a confidence interval for the population value of a regression coefficient and 2) a predicted value for the dependent variable, given an estimated regression model and assumed values for the independent variables;
修改为：calculate and interpret a predicted value for the dependent variable, given an estimated regression model and assumed values for the independent variables；
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原内容READING5： distinguish between and interpret the R2 and adjusted R2 in multiple regression
修改为：h) contrast and interpret the R2 and adjusted R2 in multiple regression
j )：formulate a multiple regression equation by using dummy variables to represent qualitative factors and interpret the coefficients and regression results
变化为：formulate and interpret a multiple regression, including qualitative independent variables;
原内容：n) describe models with qualitative dependent variables
修改为： n) interpret an estimated logistic regression;
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