# Lecture 1:

```Math 110
Chapter 2, Section 5
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Modeling Data With Equations (&sect;2.5):
Let's say you're trying to figure out something about the real world. So far, you've spent a lot of
time learning about equations and functions – how do you get those functions?
&quot;modeling&quot; means trying to figure out how to find a function that &quot;fits&quot; some data
Step 1: Get the real-world data
 For right now, we'll be looking at stuff that has (only) 2 dimensions, we can graph it as x vs.
y on a 2D plot.
Example: temperature at noon vs. day of the year
Example: height vs. weight of people at Cascadia
Step 2: Scatter Diagrams
 A way of depicting real-world data.
 Simply put each (x,y) point on a graph
(You should see a pattern emerge, especially if you've got enough data)
o You'll notice that we almost never get perfect data (there isn't going to be a straight
line onto which all the data points fall).
 At this stage, you want to eyeball it, and make a guess about what type of function (linear?
o For right now, we'll look at linear data, so it should look roughly line-like
Step 3: Regression
 For this, we'll use a tool (such as our graphing calculator) to draw a reasonably decent line
for us. Some lines are better than others – you want one with a correlation coefficient (r),
such that
r
is close to 1.
o The closer it is to 1, the better the fit. ≥.8 is good. .1 isn't.
X
Walk them through these steps on the calculators.
REMEMBER TO TURN DIAGNOSTICS ON!!!!
(on a TI-83, this is available ONLY through the catalog)
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Math 110
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