# Linear regression, multiple regression, time series

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First some questions about simple, linear, bivariate regression.

1 Of these correlation coefficient values, which represents the least strength of correlation?

A +0.4

B +0.1

C -0.2

D -0.5

2 The t test for significance of the correlation coefficient has how many degrees of freedom?

A n

B n-1

C n-2

D n-3

3 Which is NOT a good indicator of the goodness of fit of a regression equation?

A Correlation coefficient

B Coefficient of determination

C F statistic

D Equation slope

4 Which of these is NOT computed from the regression's standard error value?

A Confidence interval for slope

B Confidence interval for intercept

C Residuals

D Prediction interval for Y

5 Which is NOT an assumption made about the random errors in a regression model?

A The errors are normally distributed

B The errors have constant variance

C The errors are independent

D The errors are small

Now for multiple regression.

6 Suppose these models all have about the same R-squared value. Which is best?

A Bivariate regression with one independent variable

B Multivariate regression with two independent variables

C Multivariate regression with three independent variables

D Multivariate regression with four independent variables

7 The F test for significance of a multiple regression tests which null hypothesis?

A R2 = 0

B rho = 0

C beta 1 = beta 2 = beta 3 = ... = beta k = 0

D e1 = e 2 = e 3 = ... = e n = 0

8 Heteroscedasticity has to do with...

A Whether variance is constant

B Whether variance is autocorrelated

C Whether variance is normal

D Whether variance is known

And a couple of questions about time series.

9 Which is NOT a measure of fit for a time series trend model?

A MAD

B MUD

C MSD

D MAPE

10 Which is NOT a moving average trend analysis method?

A TMA

B CMA

C Exponential smoothing

D Deseasonalization

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##### Solution Summary

Answers Multiple Choice Questions on simple, linear, bivariate regression, multiple regression, time series.

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For each question, place your cursor in the yellow highlighted cell and click the left mouse button. Then choose the correct answer letter from the drop-down list. Note: This is intended to be a learning exercise. You are welcome to refer to your text, research these questions on the web, or discuss them with other class members. But turn in your own answer spreadsheet -- the one with your name shown above.

First some questions about simple, linear, bivariate regression.

1 Of these correlation coefficient values, which represents the least strength of correlation? B

A +0.4

B +0.1

C -0.2

D -0.5

Answer: +0.1

Strength of correlation is indicated by coefficient of determination; coefficient of determination=correlation coefficient ^2. The least value is for r=0.1

r= r^2=

0.4 0.16

0.1 0.01

-0.2 0.04

-0.5 0.25

2 The t test for significance of the correlation coefficient has how many degrees of freedom? C

A n

B n-1

C n-2

D n-3

Answer: n-2

3 Which is NOT a good indicator of the goodness of fit of a regression equation? D

A Correlation coefficient

B Coefficient of determination

C F statistic

D ...

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