Using real data from Nevada, I created a regression using other demographics to explain an individual's wage. After developing an initial model, I performed a partial F-test to see if I could use a simpler model.

This project tests the accuracy of the different linear models. Each linear model was selected using stepwise AIC, stepwise BIC, backward AIC, and backward BIC. Each linear model was tested using a training set and a testing set.

This is practice for class where I am testing whether I should accept a reduced linear model or use the full linear model

Here is my first R assignment using linear regression analysis. The first problem examines a negative linear relationship between iron content and weight loss of a specimen. The second one looks at a positive relationship in tree circumference and their height.