What function in Gretl is used to perform a linear regression?
Gretl Quiz

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STUDI PROGRAM IN ECONOMICS
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7 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
ols
mean
plot
log
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the difference between simple and multiple linear regression?
Multiple linear regression involves only one independent variable.
Simple linear regression involves two or more independent variables.
Multiple linear regression involves two or more independent variables.
Simple linear regression involves only one independent variable.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How do you interpret the R-squared value in a linear regression analysis?
It measures the distribution of the data in the analysis.
It measures the strength of the relationship between the variables.
It measures the number of variables in the analysis.
It measures the accuracy of the predictions in the analysis.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the difference between the dependent and independent variables in linear regression?
The dependent variable is the variable that is unchangeable, while the independent variable is the outcome.
The dependent variable is the outcome being investigated, while the independent variable is the variable being manipulated or controlled.
The dependent variable is the variable being manipulated or controlled, while the independent variable is the outcome.
The dependent variable is the outcome being investigated, while the independent variable is a constant.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can you assess the goodness of fit of a linear regression in Gretl?
Standard deviation
Correlation
R-squared
Mean
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of residual analysis in linear regression?
To calculate the mean of the residuals
To predict future outcomes
To check the assumptions of the model
To determine the correlation between variables
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can you test the significance of regression coefficients in Gretl?
With the Chi-Square test
With the ANOVA test
With the t-Test or F-Test
With the correlation test
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