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 = 0.3 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WILLIAMS Stephen | 59 |
| 2 | SIMMONS Quinn | 73 |
| 3 | SCHACHMANN Maximilian | 71 |
| 4 | KRON Andreas | 63 |
| 5 | HIRSCHI Marc | 61 |
| 6 | LUTSENKO Alexey | 74 |
| 7 | PEDERSEN Casper | 71 |
| 8 | HAGA Chad | 71.5 |
| 9 | ASKEY Lewis | 75 |
| 10 | JACOBS Johan | 78 |
| 11 | VITZTHUM Simon | 70 |