ames)
lm_ames
## 
## Call:
## lm(formula = Sale_Price ~ Gr_Liv_Area, data = ames)
## 
## Coefficients:
## (Intercept)  Gr_Liv_Area  
##     13289.6        111.7
```


???

So let's start with prediction. To predict, we have to have two things: a model to generate predictions, and data to predict

---
name: step1
background-image: url("images/predicting/predicting.001.jpeg")
background-size: contain

---
class: middle, center

# Quiz

How many R functions can you think of that do some type of linear regressi