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CFA二级考纲中的Quantitative Method科目变化是怎样的?

发布时间:2021-06-19 09:25来源: 融跃CFA官网

CFA二级考纲中的Quantitative Method科目变化是怎样的?

CFA二级考纲中的Quantitative Method科目变化是怎样的,2022CFA考纲已经出来,报考2022CFA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

CFA二级考纲

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;

CFA考试知识点的内容就这么多,学员如果对知识点还有更多的疑问,可以咨询

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