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STA 490 Group Presentation 1
This is a Time Series analysis of electricity production in NSW, Australia.
STA 490 HTML Presentation
HTML presentation on an analysis of when teams "go for it" on fourth down in the NFL using data from the 2022-2023 NFL season.
Advanced Time Series Analysis of Electric Production in NSW Australia
This is a time series model building exercise for electricity production in New South Wales, Australia.
Time Series Analysis of Electric Production in NSW Australia
This is a time series analysis of electric production in NSW Australia. This case study aims to analyze seasonality and other trends through decomposition methods. It also assesses the optimized size of a training data set to do forecasting with this data.
Time Series Analysis of Labor Hours Data
This is a time series analysis on 74 years of historic data from the US economy. This data measures the total amount of hours worked annually by US workers.
Poisson and Quasi-Poisson Regression of Cycling Data
This is a case study that uses Poisson Regression concepts to model the counts of cyclists contained within the cycling data used for this project.
Using Predictive Modeling to Analyze Graduate School Applications
This is a case study that examines a data set that contains information about graduate school applications. This case study uses predictive modeling to predict research experience on graduate applications.
STA 321 HW 5
This is an exercise in using multiple logistical regression to model the relationship between research experience and other relevant predictors in the graduate school application process.
STA 321 Project 1
This is a statistical modeling project that uses multiple linear regression along with bootstrap resampling techniques to build a model for MSRP of cars using relevant factors for prediction.
STA 321 HW 4
This is an exercise in simple logistical model building. This case study exams a graduate admissions data set.
STA 321 HW 3
This is a modeling exercise using multiple linear regression and relevant transformation techniques to model credit union's net income using pertinent explanatory variables recorded since the year 2005.
STA 321 HW 2
This is an exercise in simple linear regression with a bootstrap sampling algorithm. The modeling is performed on a data set containing betting data from the 2014-2015 NBA Season.
STA 321 HW 1
This is a small confidence interval analysis of a data set for percentage of protein in food intake.