This project presents a regression analysis conducted on Boeing's Price-to-Earnings (PE) ratio. The study aimed to identify factors influencing the PE ratio, using data from 2016 to 2019. Independent variables included stock price, trailing twelve months (TTM) net earnings per share (EPS), growth rate, and interest rate. The analysis, performed using Excel, revealed a strong linear relationship, with an R-squared of 0.97. The findings indicated that stock price and TTM Net EPS significantly impacted the PE ratio, while growth and interest rates did not. The coefficients and t-statistics were interpreted to determine the significance of each variable. The study concluded that the regression model could be beneficial for analysts and investors in making investment decisions based on TTM Net EPS and stock price.
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