Project 1
Statistical Tests and Regression using Jamovi
Overview
This assignment involved the statistical analysis of a House Price dataset using Jamovi. The analysis was structured into three main sections: descriptive statistics and correlations, statistical hypothesis testing, and linear regression modelling.
Descriptive statistics were used to summarise the House Price variable. Correlation analysis examined relationships between house price and other quantitative variables. Statistical tests investigated differences in house prices across cities and house types. Linear regression modelled house prices using size, bedrooms, bathrooms, and land area as predictors.
Tools and Technologies Used
- Jamovi
- Microsoft Word
Results and Key Findings
Two regression models were developed. The first used house size, number of bedrooms, bathrooms, and land area. The second used statistically significant predictors from the first model alongside additional relevant variables.
Reflection
This project strengthened my understanding of statistical testing, correlation analysis, and regression modelling in a real-world dataset context.