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 = 0.6 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | ACKERMANN Silvère | 62 |
| 5 | OFFREDO Yoann | 69 |
| 14 | BÉRARD Julien | 70 |
| 16 | TANNER David | 70 |
| 17 | NISSEN Søren | 65 |
| 21 | GASPARRE Graziano | 60 |
| 23 | LANG Pirmin | 73 |
| 24 | FEILLU Brice | 69 |
| 25 | ROUX Anthony | 73 |