1 online resource : illustrations (black and white, and colour)
Summary
This dataset example introduces testing for heteroscedasticity following a linear regression analysis, which rests on several assumptions: one is that the variance of the residuals from the model is constant and unrelated to the independent variable(s). Constant variance is homoscedasticity, while non-constant variance is called heteroscedasticity. In this example, a simple regression model is estimated using a subset of data from the 2006 China Health and Nutrition Survey. It presents an analysis of whether systolic blood pressure is a linear function of a person's age
Audience
Specialized
Notes
Description based on online resource; title from home page (viewed on September 16, 2015)
