RSE vs R²

The assigned chapter was heavy and fast on the statistical notation as it guided us through linear regression. I can’t say that I found it easy to digest, but I do appreciate how it began with a framing of the topic through the seven questions (Is there a relationship between the two? How strong is it…

Limitations of the Multiple Regression Model

Can we see the forest for the trees? When examining a phenomenon with multiple causes, will it help us understand the phenomenon if we look at the causes one at a time? Or, is it better when we see the overall pattern created by the multiple causes…

ANOVA with MTCARS

Hello again Human Systems Students!

Last week we discussed multiple regression in R using the mtcars dataset. Mtcars tells us about the 1974 Motor Trend US magazine, and comprises fuel consumption and 10 aspects of automobile design and performance for 32 automobiles…

Analysis of Means or Variance?

Analysis of Variance (ANOVA) is a statistical method used to test differences between two or more means. It is rather odd that the technique is called “Analysis of Variance” rather than “Analysis of Means”. ANOVA tests the null hypotheses that all the sample means are equal…

Linear Regression — Learning the ‘R’ way!

This chapter focuses on single and multiple linear regression approaches to supervised learning for quantitative data. It helps discover the relationship between various variables, the extent of the relationship, the accuracy within and the predictability…

Linear Regression and Confidence Intervals in layman’s Terms

Linear regression is one of the most popular techniques used in statistics. It assesses how successfully a predictive variable does its job in predicting the outcome variable. It operates under the assumption, that the two…