StatsProject

This is a group project that I worked on in one of my statistics classes. We used R throughout this class to create linear regression models and for this project. Our project sought to use data from Open Food Facts, a collaborative food products database, in order to create a regression model and predict how macronutrients, proteins, carbohydrates, and fats, impact the nutritional quality of different food products. After wrangling the nutrition score from categorical grades to integers, we constructed a model to predict nutrition score based of the amount of proteins, carbohydrates, and fats per one hundred grams of the food product. Our model gives us a good idea of what sort of impact three statistically significant micronutrients have on nutrition in respect to each other and overall nutritional value.