BUSINESS ADMINISTRATION
BUSINESS ANALYTICS
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Multiple regression model
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Quadratic regression model
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Simple regression model
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Least squares regression model
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Detailed explanation-1: -A polynomial regression model is a machine learning model that can capture non-linear relationships between variables by fitting a non-linear regression line, which may not be possible with simple linear regression.
Detailed explanation-2: -The most common models are simple linear and multiple linear. Nonlinear regression analysis is commonly used for more complicated data sets in which the dependent and independent variables show a nonlinear relationship.
Detailed explanation-3: -Multiple linear regression (MLR) is used to determine a mathematical relationship among several random variables.1 In other terms, MLR examines how multiple independent variables are related to one dependent variable.
Detailed explanation-4: -When there is a single continuous dependent variable and a single independent variable, the analysis is called a simple linear regression analysis . This analysis assumes that there is a linear association between the two variables.
Detailed explanation-5: -Some examples of nonlinear regression models are: yi=e0+1xi1+e0+1xi+iyi=0+1xi1+2e3xi+iyi=0+(0.4−0)e−1(xi−5)+i.