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 = -0.2 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | QUINTERO Leonel | 67 |
| 4 | EARLE Nathan | 70 |
| 5 | DYBALL Benjamin | 63 |
| 8 | PRADES Benjamín | 56 |
| 9 | NAKAI Tadaaki | 62 |
| 11 | SAINBAYAR Jambaljamts | 60 |
| 12 | KOBAYASHI Marino | 64 |
| 13 | OKA Atsushi | 57 |
| 14 | LEBAS Thomas | 65 |
| 15 | YAMAMOTO Genki | 62 |
| 16 | TORIBIO José Vicente | 64 |
| 19 | KUBOKI Kazushige | 68 |