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The correct answer is C

R2 = RSS / SST = 23,516 / 23,644 = 0.9946.

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Is the intercept term statistically significant at the 5% level of significance and the 1% level of significance, respectively?

1%   5%

A)               Yes    No

B)               No     No

C)               Yes    Yes

D)               No     Yes

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The correct answer is C

The test statistic is t = b / std error of b = 5.29 / 1.615 = 3.2755.

Critical t-values are ± 2.101 for the degrees of freedom = n ? k ? 1 = 18 for alpha = 0.05. For alpha = 0.01, critical t-values are ± 2.878. At both levels (two-tailed tests) we can reject H0 that b = 0.

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What is the value of the F-statistic?

A) 0.0003. 

B) 0.9945. 

C) 182. 

D) 3,359. 

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The correct answer is D

F = mean square regression / mean square error = 23,516 / 7 = 3,359.

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Heteroskedasticity can be defined as:

A) error terms that are dependent. 

B) a regression that changes over time. 

C) nonconstant variance of the error terms. 

D) independent variables that are correlated with each other. 

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The correct answer is C

Heteroskedasticity occurs when the variance of the residuals is not the same across all observations in the sample. Autocorrelation refers to dependent error terms. Nonstationarity is when the regression changes over time.

 

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5、A study of a sample of incomes (in thousands of dollars) of 35 individuals shows that income is related to age and years of education. The following table shows the regression results:

   

Coefficient

Standard Error

t-statistic

P-value

Intercept

5.65

1.27

4.44

0.01

Age

0.53

?

1.33

0.21

Years of Education

2.32

0.41

?

0.01

 

 

 

 

 

Anova

df

SS

MS

F

Regression

?

215.10

?

?

Error

?

115.10

?

 

Total

?

?

 

 

The standard error for the coefficient of age and t-statistic for years of education are:

A)    0.40; 5.66.

B)    0.53; 2.96.

C)   0.20; 1.96.

D)   0.32; 1.65.

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The correct answer is A

standard error for the coefficient of age = coefficient / t-value = 0.53 / 1.33 = 0.40

t-statistic for the coefficient of education = coefficient / standard error = 2.32 / 0.41 = 5.66

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Mean square regression (MSR) and mean square error (MSE) are:

A) 102.10; 7.11.

B) 7.38; 3.42.

C) 107.55; 3.60.

D) 6.72; 3.58.

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