Basic concepts of linear regression. Basic concepts of linear regression Match t

Question

Basic concepts of linear regression.

Basic concepts of linear regression Match the following key linear regression terms with their respective descriptions. Least Square Method Regression Equation Regression Model Dependent Variable Independent Variable A procedure used to develop an estimate of the regression equation that minimizes the sum of the squared errors The equation that describes the relationship between the expected value of the dependent variable and the independent variable The equation that describes the relationship between the independent variable and the dependent variable and an error term The variable that you are predicting or explaining The variable that is doing the predicting or explaining

Explanation / Answer

Least sqaure method is used to develop regression equations or regression model and it minimizes the sum of the sqaured errors.

Hence, for first option "least sqaure method" will be used.

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regression equation always goes from the mean of X and Y.

Hence, for second "regression equation" will be correct option.

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For third regression model is correct option.

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For fourth, dependent variable is correct option.

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For fourth, independent variable is correct option.

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