Ananalyst in interested in predicting annual sales for XYZ Company, a maker ofpaper products. The following table reports a regression of the annual salesfor XYZ against paper product industry sales.
Regression Output
Parameters |
Coefficient |
Standard Error of the Coefficient |
Intercept |
-94.88 |
32.97 |
Slope |
0.2796 |
0.0363 |
Thecorrelation between company and industry sales is 0.9757. The regression wasbased on 5 observations.
Which ofthe following is closest to thevalue and reports the most likely interpretation of the R2 for thisregression? The R2 is:
-
0.048, indicating that thevariability of industry sales explains about 4.8% of the variability of companysales.
-
0.952, indicating that thevariability of industry sales explains about 95.2% of the variability ofcompany sales.
-
0.952, indicating that thevariability of company sales explains about 95.2% of the variability ofindustry sales.
Correct Answer: B
【解析】
本题主要考察了对R2的计算与理解。
(1) R2对应的全称为coefficientof determination (判定系数),R2指的是因变量(dependent variables)变化能由自变量(independentvariables)解释的部分。
(2) 计算R2有两种方法:
-
平方法:将因变量与自变量之间的相关系数(correlation coefficient)取平方。该方法一般用于只有一个自变量的情况,该方法的缺点也就是如果有多个自变量存在时,该方法失效。
-
其中;该方法适用于多元回归情况,也是我们常用的方法。
从本题给出的条件来看,分析师预测XYZ的销售情况,因而XYZ是因变量,使用行业的销售情况对其进行回归估计,因此行业的销售情况是自变量。题目中给出了两者的相关系数为0.9757,根据平方法:R2=(0.9757)2=0.952.所以答案为B, 判定系数为0.952,表示XYZ公司销售变化的95.2%能由行业销售量解释。
来自:Finance365CFA