I ran the linear regression for DC annual snowfall.
Using 1888 as the starting point, the equation is:
Annual snowfall in DC = -0.07 X # of years past 1888 + 22.9
So, on average DC is seeing 0.07" less snow per year since 1888. The R squared value is 6%, which means that 6% of the variability from year to year is a function of the passing of time. Another way to look at this number is that 94% of the variability from year to year is random.
Using 1969 as the starting point, the equation is:
Annual snowfall in DC = -0.03 X # of years past 1969 + 18.4
So, on average DC is seeing 0.03" less snow per year since 1969. The R squared value is 0.2%, which means that 0.2% of the variability from year to year is a function of the passing of time. Another way to look at this number is that 99.8% of the variability from year to year is random.
Using 1984 as the starting point, the equation is:
Annual snowfall in DC = +0.17 X # of years past 1984 + 22.9
So, on average DC is seeing 0.17" more snow per year since 1984. The R squared value is 0.4%, which means that 0.4% of the variability from year to year is a function of the passing of time. Another way to look at this number is that 99.6% of the variability from year to year is random.
Conclusion:
Annual snowfall In DC has declined on average 0.07" per year since 1888.
Annual snowfall In DC has declined on average 0.03" per year since 1969.
Annual snowfall In DC has increased on average 0.17" per year since 1984.
The vast majority of the variability (94% up to 99.8%, depending on the time period observed) from year to year is statistical noise, or random.