Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.4 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GOUGH Regan | 71 |
| 2 | STRONG Corbin | 63 |
| 3 | FISHER-BLACK Finn | 69 |
| 4 | OLIVER Ben | 71 |
| 6 | MUDGWAY Luke | 65 |
| 7 | GATE Aaron | 71 |
| 8 | JONES Ollie | 75 |
| 9 | BURNETT Josh | 73 |
| 10 | PITHIE Laurence | 74 |
| 11 | CHRISTENSEN Ryan | 63 |
| 12 | STEWART Campbell | 76 |
| 13 | KERGOZOU DE LA BOESSIERE Nick | 74 |