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 = -0.1 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WELSFORD Sam | 79 |
| 2 | BRENNAN Matthew | 68 |
| 3 | WALLS Matthew | 72 |
| 5 | SWIFT Ben | 69 |
| 6 | DEHAIRS Simon | 82 |
| 7 | STRONG Corbin | 63 |
| 8 | OLIVEIRA Rui | 66 |
| 9 | BAUHAUS Phil | 75 |
| 10 | MOSCA Jacopo | 65 |
| 12 | ANDRESEN Tobias Lund | 69 |
| 13 | UHLIG Henri | 69 |
| 14 | TRONCHON Bastien | 72 |
| 16 | GATE Aaron | 71 |
| 17 | SCOTT Cameron | 80 |
| 18 | NARVÁEZ Jhonatan | 65 |
| 19 | MARIT Arne | 72 |