Ater going back and using regression to justify which type of equation would give me the correlation coefficient closest to 1, I was able to produce this type of model. After plotting all the data points stated, I then calculated both my x and y lists to find my equation. By doing that,my calculator crunched all the numbers and found the line of best fit. After later findings, I discovered that there were no outliers .By plugging in my x and y values, my calculator found my slope of the equation, and then upon further exploration through regression I was able to find the best equation for the model, because it has the closest correlation coefficient to 1 amongst the other models.