Using March and September Artic Sea Ice data. This will use a simple linear regression to estimate when the artic sea ice will melt away completely
Using the functions within arcticSeaIce.py. This program reads in the data from data_79_16.csv, calculates the means and anomalies for the March and Septmeber, gets the parameters from the data using OLS, and uses the parameters to make a prediction of when the Sea Ice will melt away for the winter and summer months.
Will create two graphs representing the mean, anolmaly and regression data for march and september.
Winter prediction 2379
76.0% of variation in Artic Sea Ice accounted for by Time (linear model)
Significance level of results: 0.0%
This result is statistically significant.
Summer prediction 2071
75.0% of variation in Artic Sea Ice accounted for by Time (linear model)
Significance level of results: 0.0%
This result is statistically significant.