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 = 0.9 * weight - 47
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EVENEPOEL Remco | 61 |
| 2 | TIBERI Antonio | 62 |
| 4 | VACEK Karel | 60 |
| 5 | HINDSGAUL Jacob | 67 |
| 6 | SKJELMOSE Mattias | 65 |
| 9 | CHARRIN Aloïs | 67 |
| 11 | FANCELLU Alessandro | 62 |
| 12 | MARCELLUSI Martin | 62 |
| 13 | QUINN Sean | 67 |
| 14 | HEIDUK Kim | 70 |
| 15 | VOLLMER Andrew | 67 |
| 17 | BRUSSENSKIY Gleb | 64 |