Homework	Description
Homework 1	Exploratory Data Analysis (EDA) for Diabetes and Salary Datasets: Perform EDA on diabetes and salary datasets, involving statistical summaries, handling missing values, creating visualizations to understand data distribution and relationships.
Homework 2	Regression Analysis with the Faithful Dataset: Use linear regression to model the duration of eruptions based on waiting times, test assumptions about error terms, interpret coefficients, and visualize regression fit.
Homework 3	Advanced Regression Techniques for Housing Data: Use regression techniques to analyze housing data, focusing on evaluating and selecting models using methods like ridge and lasso regression.
Homework 4	Modeling Macroeconomic Data: Explore correlations among macroeconomic predictors, fit multiple models, check for multicollinearity, and interpret the impacts on employment figures.
Homework 5	College Data Analysis: Perform regression analysis on U.S. college data, focusing on applications received as the response variable, and explore the impact of different predictors on this outcome.
Homework 6	Diagnostics for Teenage Gambling Data: Conduct diagnostic tests to validate assumptions of linear regression modeling, identify influential points, and evaluate the model's fit on gambling expenditure data.
Homework 7	Longley Macroeconomic Data Analysis: Examine relationships among variables in the Longley dataset, identify issues of multicollinearity, and fit models to predict employment figures.
Homework 8	Swiss Fertility Data Analysis: Analyze Swiss fertility data using multiple regression, check assumptions, identify influential observations, and compare models with and without these points.
Homework 9	Modeling Brain and Body Weights of Mammals: Fit linear and logarithmic models to predict brain weight based on body weight, perform transformations, check assumptions, and make predictions.
Homework 10	Stackloss Data Analysis: Use OLS, LAD, and Huber's method for robust regression on plant operational data, analyze the influence of observations, and compare the effectiveness of regression methods.
Homework 11	Boston and College Data Regression Analysis: Use ridge and lasso regression to predict housing values and college applications, perform model validation and selection, and calculate and compare RMSE values on test data.