• Simple Linear Regression is a statistical method used to model the relationship between two continuous variables. It is preferable when attempting to predict a value (dependent variable) based on just one input value (independent variable).

• Simple Linear Regression is useful in modelling single, straight-line relationships between x and y variables. This line can help us understand said relationships and whether or not they describe a trend.

\[ y = \beta_0 + \beta_1 x + \epsilon \]

##    month average
## 1      1      68
## 2      2      72
## 3      3      77
## 4      4      86
## 5      5      94
## 6      6     104
## 7      7     106
## 8      8     105
## 9      9     100
## 10    10      90
## 11    11      77
## 12    12      68

## `geom_smooth()` using formula = 'y ~ x'

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