In a regression analysis, the variable that is being predicted is the

elchatosarapage

elchatosarapage

Answered question

2021-11-20

In a regression analysis, the variable that is being predicted is the "dependent variable."
a. Intervening variable 
b. Dependent variable 
c. None 
d. Independent variable

Answer & Explanation

Supoilign1964

Supoilign1964

Beginner2021-11-21Added 19 answers

Step 1 Introduction
Regression: Regression analysis is used to estimate or predict the dependent variable based on independent variable by using the following Regression equation
SSRy=a+b×x
Where a is the intercept and b is the slope coefficients of the regression equation.
y is the (dependent or response) variable and x is the (independent or explanatory) variable.
Step 2 Answer and explanation
As we know, the Regression analysis useful for prediction or forecasting.
In Regression line, one Variable is dependent variable and other variable is independent variable.
The dependent variable being predicted on the basis of independent variable (Explanatory variable)
Thus, the dependent variable is being predicted .i.e., Option b is correct.
Jazz Frenia

Jazz Frenia

Skilled2023-06-19Added 106 answers

In a regression analysis, the variable that is being predicted is the dependent variable.
The dependent variable, also known as the response variable or outcome variable, is the variable of interest that is being explained or predicted by the regression model. It is the variable that researchers want to understand and analyze in relation to other variables in the study.
In a regression equation, the dependent variable is typically denoted by Y. The goal of the regression analysis is to find the relationship between the dependent variable Y and one or more independent variables, denoted by X1,X2,,Xn.
The regression model seeks to estimate the relationship between the dependent variable Y and the independent variables X1,X2,,Xn. This relationship is often expressed in the form of a mathematical equation, such as:
Y=β0+β1X1+β2X2++βnXn+ε where β0 is the intercept term, β1,β2,,βn are the coefficients corresponding to the independent variables, and ε represents the error term.
The regression analysis aims to estimate the values of the coefficients β0,β1,,βn in order to create the best-fitting line or curve that represents the relationship between the dependent variable Y and the independent variables X1,X2,,Xn.
Therefore, in a regression analysis, the dependent variable is the variable that is being predicted or explained, making the correct answer to your question {(b) Dependent variable}.
Andre BalkonE

Andre BalkonE

Skilled2023-06-19Added 110 answers

Result: (b) Dependent variable
Solution:
The dependent variable is the outcome or response variable that we are interested in understanding or predicting. It is the variable that we believe is influenced by one or more independent variables. In a regression analysis, we use the values of the independent variables to estimate or predict the value of the dependent variable.
The other options can be explained as follows:
a. Intervening variable: An intervening variable is a variable that comes between the independent and dependent variables and affects the relationship between them. It is not the variable being predicted in a regression analysis.
b. Dependent variable: As explained above, the dependent variable is the variable being predicted or explained in a regression analysis.
c. None: This option is incorrect because in a regression analysis, there is always a dependent variable that is being predicted.
d. Independent variable: The independent variable is a variable that is believed to have an effect on the dependent variable. It is not the variable being predicted, but rather the variable used to explain or predict the dependent variable.
Therefore, the correct answer is b. Dependent variable.

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