Part 1 of the Data 605 final at CUNY School of Professional Studies

Part 3 of the Data 605 Final at CUNY School of Professional Studies. Dataset from Kaggle Competition.

Part 2 of the Data 605 Final @ CUNY School of Professional Studies

Problems and Exercises in Computational Mathematics

Problems in Computational Mathematics

Exercises in computational mathematics.

Problems in Computational Mathematics

Problems in Computational Mathematics

The who.csv dataset contains real-world data from 2008. The data set include multiple measured data points related to healthcare and life expectancy.

Using R, build a multiple regression model for data that interests you. Include in this model at least one quadratic term, one dichotomous term, and one dichotomous vs. quantitative interaction term. Interpret all coefficients. Conduct residual analysis. Was the linear model appropriate? Why or why not?

Problems in Computational Mathematics

Using the “cars” dataset in R, build a linear model for stopping distance as a function of speed and create an analysis of the regression model (visualization, quality evaluation of the model, and residual analysis.)

Build a regression model for data that interests you. Conduct residual analysis. Was the linear model appropriate? Why or why not?