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 + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAYRHOFER Marius | 70 |
| 2 | HINDSGAUL Jacob | 67 |
| 4 | SKJELMOSE Mattias | 65 |
| 5 | EVENEPOEL Remco | 61 |
| 6 | QUINN Sean | 67 |
| 7 | PATTYN Steven | 63 |
| 9 | MARCELLUSI Martin | 62 |
| 10 | CHARRIN Aloïs | 67 |
| 11 | SYRITSA Gleb | 85 |
| 12 | TIBERI Antonio | 62 |
| 13 | PLUIMERS Rick | 67 |
| 15 | PARASHCHAK Yaroslav | 66 |