QUESTION 1
You want to conduct a simple linear regression to find out if grades in school predict whether a graduate is employed or unemployed. Why can’t this be done?
QUESTION 2
Which is NOT true of simple linear regression?
It can be used to identify predictors of continuous outcome variables.
It can be used to predict the outcome of a binary variable (e.g., pass/fail) with continuous variables.
It can be used to quantify a relationship between two continuous variables.
It can be used to model a linear relationship between variables.
20 points
QUESTION 3
You want to see if the learners’ Graduate Record Exam (GRE) scores are predictive of grades once enrolled at the university. If in your model R2 = .17 how much of the variation in grades is explained by GRE scores?
1.7%
83%
17%
There is not enough information provided to tell.
20 points
QUESTION 4
What would the null hypothesis be for the research question explored using simple linear regression in the previous question?
There is a positive linear relationship between GRE scores and grades.
There is a negative linear relationship between GRE scores and grades.
There is a linear relationship between GRE scores and grades that could be either positive or negative.
There is no linear relationship between GRE scores and grades.
20 points
QUESTION 5
What can you conclude from this output from a linear regression analysis of GRE scores and grades that results in the following data: the slope coefficient (B) for GRE scores is .037 with a significance level of .018?
You should reject the null hypothesis, and accept the alternative hypothesis that there is a linear relationship between GRE scores and grades because the p-value is less than .05.
You should reject the null hypothesis, and accept the alternative hypothesis that there is a linear relationship between GRE scores and grades because the standard error is less than 1.0.
You should accept the null hypothesis and reject the alternative hypothesis that there is a linear relationship between GRE scores and grades because the p-value is less than .05