#Project 1 - Statistical-Inference on Rent of cities : Compared the rental price per square meter between different cities using statistical inference methods in R. Hypothesis testing using the One way Anova and T-tests with Bonferroni correction method to check the influence of the location over the apartment rent for Munich rent index year 1999.

#Project 2 - Regression analysis of car prices : Determine the feature of the cars that significantly influence the price of the cars from the given data set using the best subset selection variable influence on the output using AIC and BIC. Lastly, on the model with the minimum value of BIC, interpretation of the coefficients, statistical significance, confidence interval and goodness of fit are discussed for the subset of the best features.