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 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STITES Tyler | 60 |
| 4 | FOLEY Michael | 72 |
| 6 | VERHOEFF Stefan | 76 |
| 7 | GERVAIS Laurent | 72 |
| 10 | STRONG Hayden | 66 |
| 11 | CHRÉTIEN Charles-Étienne | 65 |
| 12 | MCDUNPHY Conn | 70 |
| 14 | BUENO Alfredo | 60 |
| 16 | BURNETT Josh | 73 |
| 17 | PAQUET Tom | 60 |
| 19 | BICKMORE Cade | 74 |
| 21 | ANDERSON Joshua | 82 |
| 22 | HAUG Kieran | 67 |
| 27 | MILES Carson | 64 |
| 29 | INKSTER Eric | 73 |
| 32 | MOORE Manu | 62 |