Question
A main limitation of linear regression is the assumption of linearity between the dependent variable and the independent variables. In the real world, the data
A main limitation of linear regression is the assumption of linearity between the dependent variable and the independent variables. In the real world, the data is rarely linearly separable. It assumes that there is a straight-line relationship between the dependent and independent variables which is incorrect many times. What are your thoughts regarding this?
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Reading, Writing, And Proving A Closer Look At Mathematics
Authors: Ulrich Daepp, Pamela Gorkin
2nd Edition
1441994793, 9781441994790
