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 = -2.1 * weight + 185
This means that on average for every extra kilogram weight a rider loses -2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOIVIN Guillaume | 78 |
| 4 | PHINNEY Taylor | 82 |
| 7 | KING Ben | 68 |
| 12 | GMELICH MEIJLING Jarno | 77 |
| 14 | ASSELMAN Jesper | 69 |
| 21 | PREMONT Christophe | 69 |
| 25 | KUBOKI Kazushige | 68 |
| 28 | LAMBERT-LEMAY Simon | 81 |
| 33 | BOILY David | 60 |
| 34 | HOULE Hugo | 72 |
| 45 | WARBASSE Larry | 67 |
| 62 | JONES Carter | 64 |
| 66 | HIRAI Eiichi | 63 |
| 78 | ROSSKOPF Joey | 74 |
| 80 | SUMMERHILL Daniel | 70 |
| 84 | IRIBE Shotaro | 61 |