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 + 41
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOASSON HAGEN Edvald | 75 |
| 2 | HUSHOVD Thor | 83 |
| 4 | KORSÆTH Truls Engen | 84 |
| 6 | VANGSTAD Andreas | 70 |
| 9 | ENGER Sondre Holst | 69 |
| 12 | JANSEN Amund Grøndahl | 83 |
| 13 | SVENDSEN Oskar | 76 |
| 14 | RASCH Gabriel | 72 |
| 21 | BREEN Vegard | 74 |
| 27 | GALTA Fredrik Strand | 78 |
| 36 | EIKING Odd Christian | 75 |
| 49 | HANSEN Dan Erik | 80 |
| 64 | KLEVGÅRD Kristian | 74 |