Understanding Dummy Variables in Regression

What is a categorical variable with two expressions called?

• Continuous

• Nominal

• Ordinal

• Dichotomous

In a regression model, what does the coefficient b1 represent when using gender as a predictor?

• The income of females

• The difference in income between genders

• The average income

• The total income

Why do we need to create dummy variables for categorical variables with more than two characteristics?

• To simplify the data

• To reduce the number of variables

• To fit them into a regression model

• To increase the number of variables

How many dummy variables are needed for a categorical variable with three characteristics?

• Three

• Two

• One

• Four

What is the purpose of creating dummy variables?

• To eliminate categorical data

• To convert categorical data into numerical data

• To create more complex models

• To reduce the number of variables

What is the first step in creating dummy variables for vehicle types?

• List all vehicle types

• Delete the original variable

• Assign numerical values to each type

• Create a new variable for each type

What is the rule for the number of dummy variables created?

• Half the number of characteristics

• Twice the number of characteristics

• One less than the number of characteristics

• Equal to the number of characteristics

What tool is demonstrated for creating dummy variables online?

• Excel

• SPSS

• Data Tab

• R Studio

What type of regression should be used if the dependent variable is categorical?

• Linear regression

• Polynomial regression

• Logistic regression

• Multiple regression

What are the dummy variables created for the place of residence in the example?

• Chicago and Los Angeles

• New York and Boston

• New York and Los Angeles

• Chicago and New York