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 = -4.6 * weight + 397
This means that on average for every extra kilogram weight a rider loses -4.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PHINNEY Taylor | 82 |
| 2 | BOIVIN Guillaume | 78 |
| 15 | SUMMERHILL Daniel | 70 |
| 19 | LAMBERT-LEMAY Simon | 81 |
| 36 | HOULE Hugo | 72 |
| 37 | PREMONT Christophe | 69 |
| 63 | BOILY David | 60 |
| 72 | GMELICH MEIJLING Jarno | 77 |
| 89 | ASSELMAN Jesper | 69 |
| 90 | JONES Carter | 64 |
| 111 | KUBOKI Kazushige | 68 |
| 116 | IRIBE Shotaro | 61 |
| 121 | ROSSKOPF Joey | 74 |
| 131 | HIRAI Eiichi | 63 |
| 141 | WARBASSE Larry | 67 |
| 153 | KING Ben | 68 |