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ProfessionAI Data Science Master: Final project for "Inferential Statistical Analysis" module: Newborns' Weight Prediction

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Inferential Statistical Analysis: Newborns' weight prediction

This project aims at predicting a newborn's weight, based on the knowledge of some variables related to the mother and the newborn itself.

The analysis was conducted using R and the output report is an HTML file obtained using RMarkdown.

We use the dataset present in the csv file. It contains data on 2500 newborns collected from 3 different hospitals, with 10 variables for each observation.

The influence of each variable on the response variable Weight has been studied, in order to create a multiple linear regression model to predict it. Various tests have been performed, such as Correlation Test, Student T test and Chi Square Test, to verify various hypotesis. Intensive use of ggplot2 and its submodules has been made for data visulization.

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ProfessionAI Data Science Master: Final project for "Inferential Statistical Analysis" module: Newborns' Weight Prediction

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