Question

A market analyst is developing a regression model to predict monthly household expenditures on groceries as a function of family size, household income, and household neighborhood (urban, suburban, and rural). The "neighborhood" variable in this model is ________.

Answer 1

Answer:

Letter e is correct. A independent variable.

Explanation:

In this question, the most appropriate alternative is the letter e, an independent variable.

In statistics, an independent variable is one whose measure will not depend on any other variable, unlike the dependent variable which corresponds to a measure that will always depend on another variable measure.

Answer 2

Answer:

An independent variable

Explanation:

To understand the concept of independent variables, one should understand the meaning of variable.

Variables is any characteristics, numer, or quantity that can be measured or counted. A variable can also be called a data item. Age, sex, business income and expenditures, country birth, capital expenditure, class grades, eye colour and vehicle type are all examples of variables, they are all called variable because the value may vary between data units in a population and may change in value over time.

Independent variables are variables that are manipulated or are changed by researchers and whose effects are measured and compared. The independent variables are called such because independent variables predict or forecast the value of the dependent variable model.