Apple geek, analytics and AI fanatic, notorious project manager getting on your nerve with a smile.
Digitalization gives birth to real things Today we endeavor to digitize everything. Shopping cards, credit cards, services, passports etc. But why do we do that? The thing is we still hang somewhat deep in our pre-digital thoughts that A real, material thing is the origin of all things real. That is, a material credit card […]
Analysis of variance (ANOVA) represents a common means to perform statistical tests as to whether there is a statistically significant difference among sample means. Though manual calculations are ok if you strive to understand the concept, however, larger examples quickly get tedious. Here, the long-standing open source R statistics package comes to our rescue. To show how R works for a simple ANOVA analysis the ensuing steps provide a quick intro as well a the source code for a fully working example.
In a similar vein as the previous post that dealt with analysis of variance (ANOVA) let’s shift our focus on a another problem solving approach, that is, linear regression. In principle, this model gives special prominence on the ability to predict an outcome based on a given set of variables.