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 = 0.3 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOWARD Leigh | 72 |
| 2 | ASSELMAN Jesper | 69 |
| 3 | JENSEN August | 67 |
| 4 | CARUSO Damiano | 67 |
| 5 | KOCH Jonas | 75 |
| 6 | PASQUALON Andrea | 75 |
| 7 | KRISTOFF Alexander | 78 |
| 8 | MAGER Christian | 60 |
| 9 | VAN GINNEKEN Sjoerd | 72 |
| 10 | MØRKØV Michael | 71 |
| 11 | VAN LERBERGHE Bert | 83 |
| 12 | VAN GESTEL Dries | 74 |
| 13 | ROSSKOPF Joey | 74 |
| 14 | MEIJERS Jeroen | 68 |
| 16 | KORSÆTH Truls Engen | 84 |