color "blue" label 'test data'plt hlines( xmin xmax linewidth plt legend(loc 'upper right'plt title("residual errors"plt show(output coefficients[- - - - - + + - - + - - - - - + - - - variance score assumptions the following are some assumptions about dataset that is made by linear regression modelmulti-collinearitylinear regression model assumes that there is very little or no multicollinearity in the data basicallymulti-collinearity occurs when the independent variables or features have dependency in them