开发者:上海品职教育科技有限公司 隐私政策详情

应用版本:4.2.11(IOS)|3.2.5(安卓)APP下载

黄路迦 · 2022年12月08日

如下

* 问题详情,请 查看题干

NO.PZ202208220100000201

问题如下:

Determine which one of the following reasons for the change in adjusted R2 from Model 2 to Model 3 is most likely to be correct.

选项:

A.Adjusted R2 decreases since adding MOM does not improve the overall explanatory power of Model 3. B.Adjusted R2 increases since adding SMB improves the overall explanatory power of Model 2. C.Adjusted R2 decreases since adding MOM improves the overall explanatory power of Model 3.

解释:

A is correct. Adjusted R2 in Model 3 decreases to 0.844 from 0.846 in Model 2.Model 3 includes all independent variables from Model 2, while adding MOM.Adding variables to a regression model always either increases R2 or causes it to stay the same. But adjusted R2 only increases if the new variable meets a threshold of significance, |t-statistic| > 1. MOM does not meet this threshold, indicatingit does not improve the overall explanatory power of Model 3.

从 M OM的Pvalue 是不是 也能看出来?P很大,说明要接受原假设。

可以这样理解吗?

2 个答案

星星_品职助教 · 2022年12月10日

@黄路迦

可参照如下内容,是2023年考纲新增加的内容。


星星_品职助教 · 2022年12月09日

同学你好,

原理是一样的,但这个思路无法从量化角度去考虑。

所以从解题角度出发,还是要去看t-statistic的绝对值是否大于1。

黄路迦 · 2022年12月09日

为什么要看t是不是大于1

  • 2

    回答
  • 0

    关注
  • 440

    浏览
相关问题

NO.PZ202208220100000201 问题如下 termine whione of the following reasons for the change in austeR2 from Mol 2 to Mol 3 is most likely to correct. A.AusteR2 creases sinaing MOM es not improve the overall explanatory power of Mol 3. B.AusteR2 increases sinaing SMB improves the overall explanatory power of Mol 2. C.AusteR2 creases sinaing MOM improves the overall explanatory power of Mol 3. A is correct. AusteR2 in Mol 3 creases to 0.844 from 0.846 in Mol 2.Mol 3 inclus all inpennt variables from Mol 2, while aing MOM.Aing variables to a regression mol always either increases R2 or causes it to stthe same. But austeR2 only increases if the new variable meets a thresholof significance, |t-statisti 1. MOM es not meet this threshol incatingit es not improve the overall explanatory power of Mol 3. 如题 谢谢

2023-09-08 15:40 1 · 回答

NO.PZ202208220100000201 问题如下 termine whione of the following reasons for the change in austeR2 from Mol 2 to Mol 3 is most likely to correct. A.AusteR2 creases sinaing MOM es not improve the overall explanatory power of Mol 3. B.AusteR2 increases sinaing SMB improves the overall explanatory power of Mol 2. C.AusteR2 creases sinaing MOM improves the overall explanatory power of Mol 3. A is correct. AusteR2 in Mol 3 creases to 0.844 from 0.846 in Mol 2.Mol 3 inclus all inpennt variables from Mol 2, while aing MOM.Aing variables to a regression mol always either increases R2 or causes it to stthe same. But austeR2 only increases if the new variable meets a thresholof significance, |t-statisti 1. MOM es not meet this threshol incatingit es not improve the overall explanatory power of Mol 3. 老师,加入SMB自变量后,AusteR2从0.817增加到0.846,说明加入SMB的mol力度更强了。请问B错在哪里呢?

2023-07-20 18:21 1 · 回答