Multiple Regression Analysis of mtcars dataset which can be found in R.

In this project I will investigate the exponential distribution in R and compare it with the Central Limit Theorem. The exponential distribution can be simulated in R with rexp(n, lambda) where lambda is the rate parameter. The mean of exponential distribution is 1/lambda and the standard deviation is also 1/lambda. Set lambda = 0.2 for all of the simulations. I will run 1000 simulations (each contains 40 observations) to investigate the distribution of averages of 40 exponentials.

This project makes use of data from a personal activity monitoring device (Fitbit, Nike Fuelband, Jawbone Up). This device collects data at 5 minute intervals through out the day. The data consists of two months of data from an anonymous individual collected during the months of October and November, 2012 and include the number of steps taken in 5 minute intervals each day.

This project involves exploring the U.S. National Oceanic and Atmospheric Administration’s (NOAA) storm database. This database tracks characteristics of major storms and weather events in the United States, including when and where they occur, as well as estimates of any fatalities, injuries, and property damage. The goal is to identify what kind of weather event caused the most significant casualty and economic damage.