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 = 0.7 * weight - 39
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAGEN Carl Fredrik | 65 |
| 2 | LE ROUX Romain | 59 |
| 4 | KNEISKY Morgan | 68 |
| 6 | CANUTI Federico | 68 |
| 7 | GÉRARD Arnaud | 70 |
| 8 | TIZZA Marco | 58 |
| 9 | SEYNAEVE Lander | 67 |
| 10 | HOELGAARD Markus | 74 |
| 11 | TORRES Pablo | 63.5 |
| 12 | YSSAAD Yannis | 69 |
| 14 | VERMEULEN Emiel | 64 |
| 17 | HALVORSEN Kristoffer | 69 |
| 18 | JARRIER Benoît | 69 |
| 19 | CABOT Jérémy | 76 |
| 20 | KASPERKIEWICZ Przemysław | 71 |
| 21 | QUAADE Rasmus | 77 |