An association between two variables that is described by a curved line is a Which one-
1. Linear regression, 2. non-linear regression, 3. CLRM and 4. None of the choice
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An association between two variables that is described by a curved line is a Which one-
Linear regression
- Linear retrogression analysis is used to prognosticate the value of a variable grounded on the value of another variable.
- The variable you want to prognosticate is called the dependent variable.
- The variable you're using to prognosticate the other variable's value is called the independent variable.
Explanation for incorrect:
- non-linear regression:Nonlinear retrogression is a form of retrogression analysis in which data is fit to a model and also expressed as a fine function.
- Simple direct retrogression relates two variables( X and Y) with a straight line( y = mx b), while nonlinear retrogression relates the two variables in a nonlinear( twisted) relationship.
CLRM:
Classical Linear Regression Model (econometrics) CLRM.
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