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In: Economics
Suppose you run a regression and the Serial Correlation LM Test, has a p-value of 0.0000....
- Suppose you run a regression and the Serial Correlation LM Test, has a p-value of 0.0000. How would you interpret the results using an F-test?
Solutions
Expert Solution
An F-test is a type of statistical test that is very flexible. You can use them in a wide variety of settings. F-tests can evaluate multiple model terms simultaneously, which allows them to compare the fits of different linear models. The overall F-test compares the model that you specify to the model with no independent variables.
F-test has two significance hypothesis:-
a- Null hypothesis:- Model with no independent variable.
b- Alternate hypothesis:- Model fits the data better than the intercept-only model
| p-value of 0.0000 |
Interpreting the F-test:-
Compare the p-value for the F-test to your significance level. If the p-value is less than the significance level, your sample data provide sufficient evidence to conclude that your regression model fits the data better than the model with no independent variables. It means that the independent variables in your model improve the fit.
Rahul Sunny answered 1 year agoRelated Solutions
When using the LM test for serial correlation, what is the null hypothesis? Select one: a....
When using the LM test for serial correlation, what is the null
hypothesis?
Select one:
a. No serial correlation is present.
b. It depends on the model specification.
c. Statistically significant serial correlation with the first
lag.
d. Statistically significant serial correlation with unspecified
lag.
Suppose you are testing a regression model for the presence of heteroskedasticity and the p-value is...
Suppose you are testing a regression model for the
presence of heteroskedasticity and the p-value is 0.00. Provide the
null and alternative hypotheses, the rejection rule and interpret
the result.
Suppose you are testing for serial correlation and using
the Serial Correlation LM text where the p-value is 0.8415. Provide
the null and alternative hypotheses, the rejection rule and
interpret the result.
1) In a multivariable regression, the p-value for the test on the coefficient of a variable...
1) In a multivariable regression, the p-value for the test on
the coefficient of a variable is equal to 0.0102. What does this
tell us about the coefficient of that variable?
A) It is statistically different from 0 at 1% significance
level
B) None of these are correct
C) It is statistically equal to 0 at 5% significance level
D) It is statistically different from 0 at 10% significance
level
2) Which of the following is correct?
A) With Perfect...
Use Statistical Tables to test for serial correlation given the following Durbin-Watson d statistics for serial...
Use Statistical Tables to test for serial correlation given the
following Durbin-Watson d statistics for serial correlation. Draw a
picture for hypothesis testing. State your hypothesis.
i. d=0.62, K=2, N=21, 5-percent, one-sided positive test
ii. d=3.89, K=3 N=18, 5-percent, one-sided positive test
iii. d=1.31, K=4, N=36, 5-percent, one-sided positive test
Use Statistical Tables to test for serial correlation given the following Durbin-Watson d statistics for serial...
Use Statistical Tables to test for serial correlation given the
following Durbin-Watson d statistics for serial
correlation. Draw a picture for hypothesis testing. State your
hypothesis.
d=0.62, K=2, N=21, 5-percent, one-sided positive test
d=3.89, K=3 N=18, 5-percent, one-sided positive test
d=1.31, K=4, N=36, 5-percent, one-sided positive test
d=1.19, K=2, N=85, 5-percent, one-sided positive test
d=1.29, K=4, N=23, 5-percent, one-sided positive test
What do you put into STATA to test residuals for positive first order serial correlation?
What do you put into STATA to test residuals for positive first
order serial correlation?
Discuss the t test and p value as a means of determining importance of regression parameters.
Discuss the t test and p value as a means of determining
importance of regression parameters.
Regression/Correlation differs from ANOVA and t-test in what way?
Regression/Correlation differs from ANOVA and t-test in what
way?
(3) Suppose that you run a regression of wage on a set of independent variables: age,...
(3) Suppose that you run a regression of wage on a set of
independent variables: age, years of education, experience, and a
dummy variable married. There are 100 observations, i.e., n=100.
You want to test whether all the coefficient and intercept
estimates in the equation for married and unmarried are equal to
each other. i.e.,
Married: wage = β0 + β1*age
+ β2*educ + β3*exper +
uUnmarried: wage = α0 +
α1*age + α2*educ +
α3*exper + v
(a) Write...
Biostatistics with R - Solve the following by evaluating the test statistic and p value. Suppose...
Biostatistics with R
- Solve the following by evaluating the test statistic and p
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lower than 115 among people who consume a small amount (e.g.,
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systolic blood pressure, X, in this population has a Normal
distribution. To evaluate our hypothesis, we randomly selected 100
people, who include a...
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