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 = 1.5 * weight - 73
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | GIRDLESTONE Dylan | 66 |
| 7 | BATTISTELLA Samuele | 67 |
| 10 | JULIUS Jayde | 59 |
| 12 | BROWN Connor | 74 |
| 16 | ORMISTON Callum | 66 |
| 18 | NIGRINI Andries | 67 |
| 19 | LAVRIČ Martin | 64 |
| 20 | KONYCHEV Alexander | 76 |
| 25 | MUGISHA Samuel | 62 |
| 30 | TIGRINE Mehdi | 61 |
| 31 | BONTHUYS Carl | 60 |
| 45 | MANIZABAYO Eric | 72 |
| 54 | KELLER Hermann | 80 |
| 69 | ESTERHUIZEN Bernard | 83 |
| 75 | FITZPATRICK Tom | 68 |