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 = 0.7 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | FERRIER-BRUNEAU Christel | 53 |
| 4 | MILLER Amanda | 52 |
| 5 | HENRION Ludivine | 60 |
| 6 | SUNDSTEDT Pia | 52 |
| 7 | BIANNIC Aude | 64 |
| 8 | MARTISOVA Julia | 64 |
| 15 | FAHLIN Emilia | 63 |
| 19 | HAGIWARA Mayuko | 52 |
| 24 | HAMMES Kathrin | 54 |
| 31 | MOBERG Emilie | 56 |
| 44 | SLAPPENDEL Iris | 67 |
| 46 | CORDON-RAGOT Audrey | 60 |
| 47 | MARTIN Lucy | 57 |
| 49 | HANSELMANN Nicole | 55 |
| 55 | DUYCK Ann-Sophie | 60 |