## Description

Here, we will plot a quadratic regression and scatter plot for the following data:

(1)Sage has no default model for `find_fit()`, so we must set one using other letters as constants, declaring them with `var()`. In order to perform a quadratic regression, the model we pass to `find_fit()` is the standard expanded quadratic form, $ax^2 + bx + c$. This can be done with any polynomial (for example, a quartic regression would use $ax^4 + bx^3 + cx^2 + dx + e$. Just make sure to define your constant variables with `var()`)

## Sage Cell

#### Code

`var('a b c')`

dataset = [ (0, 2.3), (1, 11.5), (2, 24.7), (3, 37.8), (4, 55.6), (5, 70.0) ]

model(x) = a*x^2 + b*x + c

find_fit(dataset, model)

[[/code]]

```
r(x) = 0.7928*x^2 + 9.8614*x + 1.7285
p1 = scatter_plot( dataset )
p2 = plot(r(x), -1, 6)
(p1 + p2).show()
```

## Options

none

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Date: 06 Mar 2019 22:58

Submitted by: Zane Corbiere