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 + 43
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | GUARNIER Megan | 54 |
| 7 | GILMORE Rochelle | 56 |
| 12 | HENRION Ludivine | 60 |
| 15 | OLABERRIA Leire | 61 |
| 21 | SELS Loes | 62 |
| 23 | HOSKING Chloe | 60 |
| 24 | BURCHENKOVA Alexandra | 67 |
| 26 | GUDERZO Tatiana | 54 |
| 28 | LÓPEZ Belén | 54 |
| 52 | CORDON-RAGOT Audrey | 60 |
| 58 | MARCHE Shara | 58 |
| 59 | CANT Sanne | 57 |
| 60 | CANUEL Karol-Ann | 51 |
| 64 | MAJERUS Christine | 56 |
| 74 | TENNIGLO Moniek | 64 |