Home Forums SAS Programming Talks Checking assumptions for the linear regression- Linearity

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    blogger rajeev

    Linear regression assumes that the relationship between two variables is linear, and the residules (defined as Actural Y- predicted Y) are normally distributed. These can be check with scatter plot and residual plot.

    For this two type of Plots can be drawn:-
    The residual Vs The Predicted Values
    The Residuals Vs The Independent Variables

    If The residual Vs The Predicted Values plot shows an evenly scatter pattern around reference line at 0 and no patterns, then we have our assumption covered but if there is a trend or known patterns in Plot then Model is not good.

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