Open your copy of Fitting a Model: State Demographics Starter File. If you haven’t already, Save a Copy now.
1 Which two columns will you explore? x-axis and y-axis.
2 Fill in the code to make a scatter plot exploring the relationship between those columns:
scatter-plot(states-table, "state", , )
3 Pick two states to use for your first model: and .
4 Based on these two points, define your model in Function and Pyret Notation:
| Function Notation | Pyret Notation |
|---|---|
f(x) = x + |
fun f(x): ( * x) + end |
5 Type this model into Pyret, and fit it to your data use fit-model. What S value did you get?
6 What’s the best model you can build? In the table below, record your models and the S values you got for them, then draw a star next to the one with the best S-value.
| Model (Function or Pyret Notation - whatever you prefer!) | S |
|---|---|
★ What does this model actually mean? Try completing the sentences below:
This model predicts that a 1 percentx-axis units increase in x-axis is associated with a slope, y-units increaseincrease / decrease in y-axis. Based on the S of S and y-axis ranging from lowest y-value to highest y-value, I would say this model fits real well / not great / poorly / terribly.
These materials were developed partly through support of the National Science Foundation, (awards 1042210, 1535276, 1648684, 1738598, 2031479, and 1501927). 
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