- Description
- question1
For a given set of explanatory variables, in general:
a confidence interval is narrower than a prediction interval.
a confidence interval is wider than a prediction interval.
The width of a confidence interval cannot be determined.
the width of a confidence interval is the same as the width of a prediction interval.
- question2
The standard error of the estimate measures:
the variability of the observed y-values around the predicted y-values.
the variability of the predicted y-values around the mean of the observed y-values.
the variability of the values of the sample regression coefficients.
the variability of the explanatory variables.
- question3
In a simple linear regression model, if the plots on a scatter diagram lie on a straight line, what is the standard error of the estimate?
+1
-1
Infinity
0
- question4
Which of the following variables is not qualitative?
Gender of a person
Religious affiliation
Student’s status (freshman, sophomore, etc.)
Number of dependents claimed on a tax return
- question5
Consider the following simple linear regression model: The response variable is:
β0
x
y
ε
- question6
Another name for an explanatory variable is the ___.
descriptive variable
independent variable
inferred variable
dependent variable
- question7
Serial correlation is typically observed in:
outliers.
sparse data.
cross-sectional data.
time series data.
- question8
Consider the following simple linear regression model: β0 and β1 are:
the unknown parameters.
the random error terms.
the response variables.
the explanatory variables.
- question9
What is the name of the variable that’s used to predict another variable?
Coefficient of Determination
Standard Error of the Estimate
Response
Explanatory
- question10
Which of the following violates the assumptions of regression analysis?
The error term has a constant variance.
The error term has a zero mean.
The error term is normally distributed.
The error term is correlated with an explanatory variable.