返回列表 发帖

Reading 11- LOS I (Part 1): : Q1

LOS i, (Part 1): Describe the use of analysis of variance (ANOVA) in regression analysis.

1nsider the following analysis of variance (ANOVA) table:

Source

Sum of squares

Degrees of freedom

Mean square

  Regression

   500

 1

500

  Error

   750

50

  15

  Total

1,250

51

 

The R2 and the F-statistic are, respectively:

A)   R2 = 0.40 and F = 33.333.

B)   R2 = 0.67 and F = 0.971.

C)   R2 = 0.40 and F = 0.971.

D)   R2 = 0.67 and F = 33.333.

2nsider the following analysis of variance (ANOVA) table:

Source

Sum of squares

Degrees of freedom

Mean square

 Regression

200

  1

200

 Error

400

40

  10

 Total

600

41

 

The R2 and the F-statistic are, respectively:

A)   R2 = 50% and F = 2.0.

B)   R2 = 33% and F = 20.0.

C)   R2 = 50% and F = 0.952.

D)   R2 = 33% and F = 2.0.

LOS i, (Part 1): Describe the use of analysis of variance (ANOVA) in regression analysis.

1nsider the following analysis of variance (ANOVA) table:

Source

Sum of squares

Degrees of freedom

Mean square

  Regression

   500

 1

500

  Error

   750

50

  15

  Total

1,250

51

 

The R2 and the F-statistic are, respectively:

A)   R2 = 0.40 and F = 33.333.

B)   R2 = 0.67 and F = 0.971.

C)   R2 = 0.40 and F = 0.971.

D)   R2 = 0.67 and F = 33.333.

The correct answer was A)

R2 = 500 / 1,250 = 0.40. The F-statistic is 500 / 15 = 33.33.

2nsider the following analysis of variance (ANOVA) table:

Source

Sum of squares

Degrees of freedom

Mean square

 Regression

200

  1

200

 Error

400

40

  10

 Total

600

41

 

The R2 and the F-statistic are, respectively:

A)   R2 = 50% and F = 2.0.

B)   R2 = 33% and F = 20.0.

C)   R2 = 50% and F = 0.952.

D)   R2 = 33% and F = 2.0.

The correct answer was B)

R2 = 200 / 600 = 0.333. The F-statistic is 200 / 10 = 20.

TOP

返回列表