However, not every person in the applicant's group is named. As a consequence, in a group of four, each person could apply. This strategy is not new. People do this when trying to win the state and national lotteries

In my next analysis, I wanted to break down the results by looking at the group size, day of the week for entry, and month for entry to see if the advice online holds when we look at the data that determines whether an application is accepted or unsuccessful.

In a prior analysis, using an ordinary least squares regression, I created a model that explained 55.7% of the variation in Boeing (BA) common stock pricing using a 7-day rolling average for U.S COVID-19 mortalities. Additionally, I found this statistic had a correlation

During analysis, an ordinary least squares linear regression model explained 55.7% (Adj. R-squared) of the variation in the Boeing (BA) equity price using the 7-day rolling average for U.S COVID-19 deaths. This predictor was found to be statistically significant with a p-value close to zero.

I recently finished a specialization on Coursera called IBM Data Science Professional Certificate. The final class was the Applied Data Science Capstone in which I had to complete the project using the Foursquare API, geospatial data, and many modules that I had worked with in previous labs.