![]() ![]() If the pattern of residuals changes along the regression line then consider using rank methods or linear regression after an appropriate transformation of your data. it is the distance of the point from the fitted regression line. Y is linearly related to x or a transformation of xĭeviations from the regression line (residuals) follow a normal distributionĭeviations from the regression line (residuals) have uniform varianceĪ residual for a Y point is the difference between the observed and fitted value for that point, i.e. This differentiates to the following formulae for the slope (b) and the Y intercept (a) of the line: Regression parameters for a straight line model (Y = a + bx) are calculated by the least squares method (minimisation of the sum of squares of deviations from a straight line). ![]() This function provides simple linear regression and Pearson's correlation. Menu location: Analysis_Regression and Correlation_Simple Linear and Correlation. ![]()
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