Asked by Samende Kamana on May 01, 2024

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________ is a regression model that involves one dependent variable and one independent variable.

A) Multiple regression
B) Simple regression
C) Single regression
D) Step-wise regression

Simple Regression

A statistical method used to examine the linear relationship between one independent variable and one dependent variable.

Regression Model

A statistical approach used to estimate the relationships among variables, commonly used for prediction and forecasting, where one or more independent variables are used to predict the outcome of a dependent variable.

Dependent Variable

In an experiment or study, it is the variable that is being tested and measured, expected to change in response to the independent variable.

  • Identify and explain the characteristics of simple versus multiple regression models.
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Verified Answer

MM
Madalyn MudrackMay 03, 2024
Final Answer :
B
Explanation :
Simple regression is the regression model that involves only one dependent variable and one independent variable. Multiple regression involves more than one independent variable, single regression is not a commonly used term for regression models, and step-wise regression is a specific technique for selecting the variables to include in a multiple regression model.