This group project observed the impact of different student demographic variables such as parental education level, lunch option, ethnicity, gender and others on student's academic performance. The tools utilized were regression and conditional probability. R and Excel were used for these methodologies.
This group project observed the impact of different student demographic variables such as parental education level, lunch option, ethnicity, gender and others on student’s academic performance. The tools utilized were regression and conditional probability. R and Excel were used for these methodologies.
There are 2 pdf files, one of which describes the problem in a case format. The second pdf file explains the methodologies used and presents a solution to the case. It is formatted as a teaching note and provides sample solutions for the problems mentioned in the case file. The R script is also included which has the regression model and well as data visualization plots to discern the relationships between the different variables.