Brian's linear and logistic regressions

Here I attempt both types of regressions, but I think a linear regression may have more to offer me.

What I want to do is demonstrate a pattern of behavior whereby UFO's are spying on military installations by disguising themselves as weather balloons or swamp gas.
Yeah, I realize that. I was hoping that I might discover otherwise though.

Sent from my iPhone

> On Sep 4, 2014, at 5:40 PM, Kevin Markham <notifications@github.com> wrote:
> 
> In linear_assignment/brian_linear/UFO_lm.RMD:
> 
> > @@ -0,0 +1,104 @@
> > +This is the data set!
> > +
> > +NOTE: I am still tweaking my model. My data is bedeviled with collinearity.
> > +
> > +```{r}
> > +setwd('C:\\Users\\bfrickert\\Documents\\GitHub\\gadsdc2\\linear_assignment\\brian_linear')
> > +ufo_model <- read.csv('ufo_model.tsv', sep='\t')
> > +```
> > +
> > +Check out how linear the relationship is between the distance between Libraries
> > +and Malls from UFO Sightings!! Doesn't seem to matter whether the shape of the 
> > +UFO is round or not!
> I suspect you're being facetious, but just in case you're not, I'll mention that the distance to a library and the distance to a mall is mostly just "distance to the nearest town".
> 
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