周教授CFA金融课程(2019/2020年CFA一级全系列课程)

申请CFA一级会员免费学习、免费延期、高通过率。

周教授CFA金融课程(2020年CFA二级全系列课程)

申请CFA二级会员免费学习、免费延期、高通过率。

周教授CFA金融课程:考点精讲+作答须知(2020年CFA三级全系列课程)

全球最好CFA三级课程,由美国大学金融学资深教授,博士,CFA 持证人、博士生导师 - 周教授亲自授课,中国知名大学教授、硕博团队协作出品,高通过率

 

CFA报名详细流程图,CFA考生自己即可完成报名
上一主题:Quantitative Analysis 【Reading 11】Sample
下一主题:Reading 13: Time-Series Analysis - LOS b ~ Q1-3
返回列表 发帖
周教授CFA金融课程:2019/2020年CFA一二三级系列课程

Reading 11: Correlation and Regression - LOS f, (Part 2):

Q5. Consider the following estimated regression equation:

ROEt = 0.23 - 1.50 CEt

The standard error of the coefficient is 0.40 and the number of observations is 32. The 95% confidence interval for the slope coefficient, b1, is:

A)      {-2.317 < b1 < -0.683}.

B)     {0.683 < b1 < 2.317}.

C)     {-2.300 < b1 < -0.700}.

Q6. Consider the following estimated regression equation:

AUTOt = 0.89 + 1.32 PIt

The standard error of the coefficient is 0.42 and the number of observations is 22. The 95% confidence interval for the slope coefficient, b1, is:

A)     {-0.766 < b1 < 3.406}.

B)     {0.444 < b1 < 2.196}.

C)     {0.480 < b1 < 2.160}.

Q7. Assume you ran a multiple regression to gain a better understanding of the relationship between lumber sales, housing starts, and commercial construction. The regression uses lumber sales as the dependent variable with housing starts and commercial construction as the independent variables. The results of the regression are:

 

 

Coefficient

Standard Error

t-statistics

Intercept

5.37

1.71

3.14

Housing starts

0.76

0.09

8.44

Commercial construction

1.25

0.33

3.78

The level of significance for a 95% confidence level is 1.96

Construct a 95% confidence interval for the slope coefficient for Housing Starts.

A)   0.76 ± 1.96(0.09).

B)   0.76 ± 1.96(8.44).

C)   1.25 ± 1.96(0.33).

Q8. Construct a 95% confidence interval for the slope coefficient for Commercial Construction.

A)   1.25 ± 1.96(0.33).

B)   0.76 ± 1.96(0.09).

C)   1.25 ± 1.96(3.78).

答案和详解如下:

Q5. Consider the following estimated regression equation:

ROEt = 0.23 - 1.50 CEt

The standard error of the coefficient is 0.40 and the number of observations is 32. The 95% confidence interval for the slope coefficient, b1, is:

A)      {-2.317 < b1 < -0.683}.

B)     {0.683 < b1 < 2.317}.

C)     {-2.300 < b1 < -0.700}.

Correct answer is A)

The confidence interval is -1.50 ± 2.042 (0.40), or {-2.317 < b1 < -0.683}.

Q6. Consider the following estimated regression equation:

AUTOt = 0.89 + 1.32 PIt

The standard error of the coefficient is 0.42 and the number of observations is 22. The 95% confidence interval for the slope coefficient, b1, is:

A)     {-0.766 < b1 < 3.406}.

B)     {0.444 < b1 < 2.196}.

C)     {0.480 < b1 < 2.160}.

Correct answer is B)

The degrees of freedom are found by n-k-1 with k being the number of independent variables or 1 in this case.  DF =  22-1-1 = 20.  Looking up 20 degrees of freedom on the student's t distribution for a 95% confidence level and a 2 tailed test gives us a critical value of 2.086.  The confidence interval is 1.32 ± 2.086 (0.42), or {0.444 < b1 < 2.196}.

Q7. Assume you ran a multiple regression to gain a better understanding of the relationship between lumber sales, housing starts, and commercial construction. The regression uses lumber sales as the dependent variable with housing starts and commercial construction as the independent variables. The results of the regression are:

 

 

Coefficient

Standard Error

t-statistics

Intercept

5.37

1.71

3.14

Housing starts

0.76

0.09

8.44

Commercial construction

1.25

0.33

3.78

The level of significance for a 95% confidence level is 1.96

Construct a 95% confidence interval for the slope coefficient for Housing Starts.

A)   0.76 ± 1.96(0.09).

B)   0.76 ± 1.96(8.44).

C)   1.25 ± 1.96(0.33).

Correct answer is A)

The confidence interval for the slope coefficient is b1 ± (tc × sb1).

Q8. Construct a 95% confidence interval for the slope coefficient for Commercial Construction.

A)   1.25 ± 1.96(0.33).

B)   0.76 ± 1.96(0.09).

C)   1.25 ± 1.96(3.78).

Correct answer is A)

The confidence interval for the slope coefficient is b1 ± (tc × sb1).

TOP

[em01][em01]

TOP

[em02][em02]

TOP

eee

TOP

1

TOP

&nbsp;thanks

TOP

x

TOP

thx

TOP

回复:(mayanfang1)[2009] Session 3 - Reading 11:...

3x

TOP

返回列表
上一主题:Quantitative Analysis 【Reading 11】Sample
下一主题:Reading 13: Time-Series Analysis - LOS b ~ Q1-3