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 = -1.8 * weight + 145
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CORT Magnus | 68 |
| 2 | BYSTRØM Sven Erik | 73 |
| 3 | SKJERPING Kristoffer | 71 |
| 5 | EIKING Odd Christian | 75 |
| 10 | MEIJERS Jeroen | 68 |
| 11 | GALTA Fredrik Strand | 78 |
| 14 | KRAGH ANDERSEN Søren | 73 |
| 15 | HAVIK Piotr | 73 |
| 16 | VINTHER Troels Rønning | 68 |
| 17 | LUNKE Sindre | 69 |
| 22 | GERTS Floris | 71 |
| 23 | VAN EMPEL Etienne | 64 |
| 27 | MORTENSEN Martin | 70 |
| 33 | TUSVELD Martijn | 70 |
| 35 | JENSEN August | 67 |
| 44 | TRÆEN Torstein | 63 |