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 = 0.1 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BENNETT Sam | 73 |
| 2 | DÉMARE Arnaud | 76 |
| 3 | PEDERSEN Mads | 76 |
| 4 | PHILIPSEN Jasper | 75 |
| 5 | COQUARD Bryan | 59 |
| 6 | MATTHEWS Michael | 72 |
| 7 | ACKERMANN Pascal | 78 |
| 8 | BAUHAUS Phil | 75 |
| 9 | DOUBEY Fabien | 62 |
| 10 | LAPORTE Christophe | 76 |
| 11 | BENOOT Tiesj | 72 |
| 12 | GREIPEL André | 80 |
| 13 | SWIFT Ben | 69 |
| 14 | STUYVEN Jasper | 78 |
| 15 | BARBIER Rudy | 79 |