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 = 4.5 * weight - 219
This means that on average for every extra kilogram weight a rider loses 4.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | NEYLAN Rachel | 52 |
| 3 | ZANARDI Silvia | 56 |
| 11 | VITILLO Matilde | 51 |
| 17 | FORTIN Valentine | 55 |
| 21 | SCHWEINBERGER Kathrin | 63 |
| 22 | BERTEAU Victoire | 57 |
| 25 | KIRCHMANN Leah | 59 |
| 62 | BECKERS Isabelle | 67 |
| 65 | ALESSIO Camilla | 58 |
| 66 | SMEKAL Finja | 61 |
| 67 | MOBERG Emilie | 56 |
| 74 | ROŽLAPA Dana | 63 |
| 81 | POMARES Cindy | 63 |
| 84 | MEAKIN Emily | 67 |
| 86 | LACOMPTE Amber | 65 |
| 96 | GEDRAITYTĖ Akvilė | 59 |