In our last discussion, we took a look at linear regressions using a marketing example centered around monthly sales. In addition to being able to fit our previous data sales, we’d also backed out a linear fit (with [math] r^2 = 0.965 [/math] that we could use...
Introduction When we look up at the night sky, we see through all the layers of our atmosphere into outer space. We see across millions of lightyears to the shining, beckoning pinpoints of light that make us stare up with wonder and curiosity. But what may not be...
