1. The Durbin-Watson Statistic can be used to test for a. serial correlation in residuals b. heteroscadesticity c. multicollinearity d. slope coefficient

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 24PFA
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1. The Durbin-Watson Statistic can be used to
test for
a. serial correlation in residuals
b. heteroscadesticity
c. multicollinearity
d. slope coefficient
2. To determine if an ARIMA mode is
adequate, we require the
a. MS to be zero
b. the residual plot to show significant
autocorrelation
c. the Ljung-Box Q statistics Chi-squared test
to have p-values greater than 5% for all legs
d. the Ljung-Box Q statistics Chi-squared test
to have p-values less than 5% for all lags
3. Which of the following are criteria to
determine if an ARIMA model is adequate?
a. MS of residuals
b. The Ljung Box Q statistics (Chi-squared
statistics)
c. The Durbin Watson statistics
d. Both A and B
Transcribed Image Text:1. The Durbin-Watson Statistic can be used to test for a. serial correlation in residuals b. heteroscadesticity c. multicollinearity d. slope coefficient 2. To determine if an ARIMA mode is adequate, we require the a. MS to be zero b. the residual plot to show significant autocorrelation c. the Ljung-Box Q statistics Chi-squared test to have p-values greater than 5% for all legs d. the Ljung-Box Q statistics Chi-squared test to have p-values less than 5% for all lags 3. Which of the following are criteria to determine if an ARIMA model is adequate? a. MS of residuals b. The Ljung Box Q statistics (Chi-squared statistics) c. The Durbin Watson statistics d. Both A and B
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