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 + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CORT Magnus | 68 |
| 3 | BONNEU Kamiel | 62 |
| 4 | PELLAUD Simon | 70 |
| 6 | KVAM Kalle | 72 |
| 7 | CHAMPOUSSIN Clément | 61 |
| 8 | VERMAERKE Kevin | 67 |
| 10 | DE WILDE Gilles | 75 |
| 12 | RETEGI Mikel | 64 |
| 13 | KLUCKERS Arthur | 71 |
| 14 | GREGAARD Jonas | 66 |
| 15 | COLNAGHI Luca | 63 |
| 19 | STOKBRO Andreas | 70 |