key term - Dependent Variable

Definition

The dependent variable is the outcome or response variable in a study or experiment. It is the variable that is measured or observed to determine the effect of the independent variable(s).

5 Must Know Facts For Your Next Test

1. The dependent variable is the variable that is being measured or observed to determine the effect of the independent variable(s).
2. In a linear equation, the dependent variable is typically represented by the variable 'y', while the independent variable is represented by the variable 'x'.
3. In regression analysis, the dependent variable is the variable that is being predicted or explained by the independent variable(s).
4. The dependent variable is the outcome or response that is influenced by the independent variable(s) in an experiment or study.
5. Identifying and properly defining the dependent variable is crucial in designing and interpreting the results of a study or experiment.

Review Questions

• Explain the role of the dependent variable in the context of linear equations.
  • In the context of linear equations, the dependent variable (y) represents the outcome or response that is predicted or explained by the independent variable(s) (x). The linear equation, in the form of y = mx + b, models the relationship between the dependent variable and the independent variable(s), where m represents the slope, or the rate of change, and b represents the y-intercept, or the starting value of the dependent variable when the independent variable is zero.
• Describe the importance of the dependent variable in regression analysis.
  • In regression analysis, the dependent variable is the variable that is being predicted or explained by the independent variable(s). The goal of regression analysis is to model the relationship between the dependent variable and the independent variable(s) and to use this model to make predictions or inferences about the dependent variable. The proper identification and measurement of the dependent variable is crucial to the validity and interpretation of the regression analysis results.
• Analyze the relationship between the dependent variable and the independent variable(s) in the context of the topics covered in this chapter (12.1 Linear Equations, 12.6 Regression (Distance from School), 12.7 Regression (Textbook Cost), and 12.8 Regression (Fuel Efficiency)).
  • Across the topics covered in this chapter, the dependent variable represents the outcome or response that is being measured or observed, and the independent variable(s) represent the factor(s) that are believed to influence or predict the dependent variable. In the context of linear equations (12.1), the dependent variable (y) is modeled as a linear function of the independent variable(s) (x). In the regression analysis topics (12.6, 12.7, and 12.8), the dependent variable is the variable that is being predicted or explained by the independent variable(s), and the goal is to understand the nature and strength of this relationship. Properly identifying and defining the dependent variable is crucial to the validity and interpretation of the results in all of these topics.

Related terms

Independent Variable:

The independent variable is the variable that is manipulated or changed by the researcher to observe its effect on the dependent variable.

Correlation:

Correlation is a statistical measure that indicates the strength and direction of the linear relationship between two variables.

Regression Analysis:

Regression analysis is a statistical technique used to model and analyze the relationship between a dependent variable and one or more independent variables.