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Regression analysis (also known as predictive analytics) attempts to establish: multicollinearity linearity in the relationship between...

Regression analysis (also known as predictive analytics) attempts to establish:

multicollinearity

linearity in the relationship between independent variables

multiobjectivity

a mathematical relationship between a dependent variable, for which future values will be forecast, and one or more independent variables with known values

linearity in the relationship between a dependent variable and a set of independent variables

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Answer #1

Regression analysis (also known as predictive analytics) attempts to establish:

a mathematical relationship between a dependent variable, for which future values will be forecast, and one or more independent variables with known values.

because:

1) multicollinearity: it is an assumption of regression

2) linearity in the relationship between independent variables: the linear relationship will be between the independent and dependent variable if we are doing linear regression.

3) multiobjective: property of regression.

4) linearity in the relationship between a dependent variable and a set of independent variables:

it is true only for linear regression. if it is quadratic or logistic regression then it is not true.

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