Exam 13: Regression Analysis

When dummy coding, the category designated at the dummy variable with a value of 0 is called the ________________.

A ___________________ can be used to estimate what the dependent variable would be if you know the value of the independent variable.

The differences between the regression line and the observed values are known as ___________________.

A common method of visually representing the data in a regression analysis is through the use of a __________________.

Simple linear regression assumes that the relationship between in the independent and dependent variables is linear. This assumption is known as what?

What are the assumptions of a linear regression? How do they vary or seem similar to other statistical tests?

In the regression equation, when X = 0 , what is the value of Y?

Normality is assumed with a linear regression.

Identify a research question for which you would like to use a regression analysis. Why is regression your choice for such a question? Is your question suited to a bivariate or multiple linear regression?

Describe how the regression line is related to the regression equation. How can one predict values based on the regression equation?

Typically, X is assigned to represent the ______________________ variable and Y is assigned to represent the ___________________ variable.

In Mary's case she wants to predict the volunteer hours based on the volunteers' level of income. In this example, volunteer hours is the independent variable.

In linear regression, the variable being used to predict the outcome variable is the __________________ variable.

Linear regression analysis goes beyond Pearson's product moment correlation because of its ability to _________________ the value of one variable from another variable.

In the regression equation, 'a' represents the _______________________.

The ____________________ is used to measure the amount of variance in one variable explained by another variable.

In linear regression the independent variable is often referred to as the outcome variable.

The regression line determines the prediction of the dependent variable from the independent variable.

Jennifer is performing an analysis in which the outside temperature and days until next holiday are used to predict the number of employees who take the day off. This is an example of what type of regression?

By finding relationship between cultural competency and number of diversity trainings attended, Emily hopes to gain support for more diversity trainings.