Under the assumptions of Linear Regression Analysis, what is linearity?
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Linearity in linear regression means that the relationship between the independent and dependent variables can be represented by a straight line. This assumption implies that changes in the predictor variable lead to proportional changes in the response variable. If the relationship isn’t linear, the model may produce biased or inaccurate results
In linear regression analysis, linearity is the assumption that there is a straight-line relationship
between the independent variable(s) and the dependent variable.