This paper is about multiple comparisons on a parametric model. The model used is made up of share prices for different companies listed at the Nairobi Securities Exchange. Multiple comparisons on models enable analysts to determine effects of divisions in a given data set and the magnitude of effects of individual divisions. This in turn enables them come up with counter mechanisms to prevent variability in the performance of a model. Tests used in this study are the ANOVA F test, confidence interval tests and pairwise comparison of summary statistics.