Today, I would like to share some assignments and projects I have done in other courses I have taken before. I have taken STA302 which is related to data analysis with a focus on regression such as multiple regression models, diagnostics, interactions and dummy variables and I am also quite comfortable using and evaluating generalized linear models such as using model diagnostics.
In STA302, I used a simple linear model and a more complex linear model respectively to assist the home buyers to predict the sale price of single-family, detached houses in the two neighborhoods in the Greater Toronto Area. In the simple linear model, I selected list prices and taxes as two predictors to predict the sale prices. Moreover, I also carried three simple linear regressions (SLR) for sale price from list price, one for all data, one for properties of neighborhood M and another for properties of neighborhood T and compared three co-efficient of determinations. Finally, I discussed the limitations of the model I used.
I would like to share my GitHub repo: https://github.com/Helen1024/STA302-Assignment-2
In the more complex linear model, I fitted an additive linear regression model with all available predictors (variables) for sale price and summarized the model. Then, I used AIC and BIC methods to select the best model. Additionally, I also discussed the limitations of this analysis.
I would like to share my GitHub repo: https://github.com/Helen1024/STA302-Assignment-3
