arsoswod

Comparision of simple linear regression equations without data.

Comparision of simple linear regression equations without data. As well as the before file arsos.m this procedure is suffice to test the homogeneity of k regression coefficients (Ho: b1 = b2 =...= bk). It do not needs to input data, but the sample statistics as sample size, regression coefficients, means and variances. The variability among the regression coefficients requires the F-statistic. If the null hypothesis is rejected, it can proceeds with a Tukey's q multiple comparision test to determine which of the k slopes differ from which other. If the null hypothesis is not rejected, the file test through a F-statistic whether they have equal elevations. Also, if the null hypothesis is rejected, it can employ a Tukey's q multiple comparision to determine the location of significant differences among the elevations.

It needs to input the X-sample statistics matrix (take care, the order must be:
[n b1 x-mean y-mean x-variance y-variance]), and the alpha-significance level (default = 0.05).

As output it is a complete table that summarizes the used statistics for the procedures and its corresponding results.