there are lots of them on the web.
just pick the one that you understand the most, after doing some research.
hear are the results from using his calculator.
information you want to pay attention to is:
formula is y = -.2591 * x + 9.892.
-.2591 is the slope of the regression line.
9.892 is the y-intercapt (value of y when value of x is 0).
r = -.2293 which is a very small correlation in a downward direction, meaning as value of x goes up, value of y goes down.
r^2 = .05257. meaning only about 5% of the y-values are directly as a consequence of the x-values, meaning that the correlation is very weak.
p-value of .5849 is much higher than a critical p-value of .05 meaning that there is not sufficient evidence that the correlation is different than the assumed status quo.
this means that, if there was an assumed correlation different from this, this data would not be strong enough to say it should be this correlation instead.
here's a reference that includes how to interpret p-value in a regression analysis.
