Answer :
The actual value of a dependent variable will generally differ from the regression equation estimate due to unaccounted for random variation.
Regression Equation :
The algebraic representation of the regression lines is known as the regression equation. When the values of the independent variables are known, it is used to forecast the values of the dependent variable.
In statistics, a regression equation is used to determine whether or not there is a link between two sets of data.
It can be expressed as follows:
[tex]Ye = a+bX[/tex]
Dependent Variable:
The response variable is the one that scientists are attempting to predict or explain. Because it is reliant on another variable, it is also sometimes referred to as the dependent variable.
Independent Variable :
The term "explanatory variable" refers to a variable that is used to predict or explain the response variable. Because it is unrelated to the other variable, it is also sometimes referred to as the independent variable. The sequence of the variables is crucial in regression.
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