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 = 1.2 * weight - 56
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BATTISTELLA Samuele | 67 |
| 3 | BROWN Connor | 74 |
| 4 | GIRDLESTONE Dylan | 66 |
| 10 | JULIUS Jayde | 59 |
| 12 | NIGRINI Andries | 67 |
| 13 | MUGISHA Samuel | 62 |
| 14 | ORMISTON Callum | 66 |
| 17 | KONYCHEV Alexander | 76 |
| 21 | LAVRIČ Martin | 64 |
| 27 | MANIZABAYO Eric | 72 |
| 32 | TIGRINE Mehdi | 61 |
| 46 | BONTHUYS Carl | 60 |
| 53 | KELLER Hermann | 80 |
| 63 | FITZPATRICK Tom | 68 |
| 67 | ESTERHUIZEN Bernard | 83 |