In the course of working on this project, we conducted a regression analysis on the stock price of apple between the years 1980 and 2021. For this particular study, we relied on the techniques of Linear, Poisson and lasso regressions, from which we derived the accompanying graphs. These graphs are utilised to make projections on the value of Apple shares for the following year. The model will provide either numbers that are approximately accurate or values that are predictions. The dataset can be acquired from Kaggle, and the reference section will include a link to the site where it can be found. We will also be trying various regression approaches, and we will demonstrate that the regression obtained by linear regression is the most effective method for analysing this dataset.