Statistics MCQs, Data Analysis, Stat Software
Different available tests of heteroscedasticity and detection of Heteroscedasticity using Graphical techniques will be presented in this category.
To detect the presence of heteroscedasticity using the Park Glejser test, consider the following data. Year 1992 1993 1994 1995 1996 1997 1998 Yt 37 48 45 36 25 55 63 Xt 4.5 6.5 3.5 3 2.5 8.5 7.5 The step-by-step procedure for conducting the Park Glejser test: Step 1: …
Data is taken from the Economic Survey of Pakistan 1991-1992. The data file link is at the end of the post “Goldfeld-Quandt Test Example for the Detection of Heteroscedasticity”. Read about the Goldfeld-Quandt Test in detail by clicking the link “Goldfeld-Quandt Test: Comparison of Variances of Error Terms“. Goldfeld-Quandt Test …
The post is about Heteroscedasticity Residual Plot. Heteroscedasticity and Heteroscedasticity Residual Plot One of the assumptions of the classical linear regression model is that there is no heteroscedasticity (error terms have constant error terms) meaning that ordinary least square (OLS) estimators are (BLUE, best linear unbiased estimator) and their variances …
The Goldfeld Quandt test is one of two tests proposed in a 1965 paper by Stephen Goldfeld and Richard Quandt. Both parametric and nonparametric tests are described in the paper, but the term “Goldfeld–Quandt test” is usually associated only with the parametric test.Goldfeld-Quandt test is frequently used as it is …