Chapter Summary
The simple regression model (SRM) provides an idealized description of the association between two numerical variables. This model has two components. The equation of the SRM describes the association between the explanatory variable x and the response y. This equation states that the conditional mean of Y given X = x is a line, μy|x = β0 + β1x. Both variables X and Y may require transformations. The second component of the SRM describes the random variation around this pattern as a sample of independent, normally distributed errors ε with constant variance. Before using this model, check the evidently independent, similar variances, and nearly normal conditions.
Confidence intervals for the parameters β0 and β1 of the linear ...
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