Hi everyone on Statalist,

I am working on a project and have run into a few obstacles.

The purpose of my project is to conduct a multiple regression analysis, with the stock price of an airline company as a dependent variable. For independent variables, I have used Oil Price, Google Trends activity, average temperature deviation in the country where the airline has most of its departures and USD/NOK exchange rate. These variables are all daily variables, and I have included all dates, even though some of the above-mentioned variables do not have values accounting for all dates, such as the weekends for oil price for example.

As Temperature Deviation, oil price (Brent) and Buzz did not fulfill the assumption of linearity, the quadratic terms of these variables were included in my multiple regression.

However, I was wondering if you could help me interpreting my results, namely the coefficients and p-values of the variables that have a quadratic term included (Brent, Buzz and TempDev)?

I would highly appreciate it!