Overview
I chose to take the current temperature at about 6 AM, and the current humidity at 6 AM, and compared those. I chose 15 random dates to create my set.
{(28,70),(57,87),(54,90),(61,93),(46,86),(27,51),(1,75),(20,48),(58,93),(44,68),(52,86),(52,77),(45,90),(63,93),(31,71)}
We will perform an analysis on this.
Scatter
Scatter plot comparing Temperature and Humidity
Upon inspection, we notice there is a positive correlation. This is because as the temperature increases, the humidity generally increases.
This appears to be a pretty moderate correlation, as they aren't really that close to a straight line, but the data isn't completely spread out.
Graph
Graph comparing Temperature and Humidity
Best line of fit:
Slope Intercept: y=x+30
Standard: x-y=-30
Point Slope: y-87=x-57
Correlation Coefficient: Not Required
Slope: 1. For every 1 degree the temprature rises, the humidity rises by 1%.
Y-intercept: 30. If the temprature is 0 degrees, the humidity is at about 30%.
Prediciton
Today's forecast (Febuary 5th, 2016) states the high should be about 40 degrees. Using our best line of fit, the humidity is probably around 70%.