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 = 1.1 * weight - 69
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOASSON HAGEN Edvald | 75 |
| 2 | VANGSTAD Andreas | 70 |
| 3 | KORSÆTH Truls Engen | 84 |
| 4 | LAENGEN Vegard Stake | 79 |
| 6 | BREEN Vegard | 74 |
| 10 | ENGER Sondre Holst | 69 |
| 20 | JANSEN Amund Grøndahl | 83 |
| 22 | TILLER Rasmus | 84 |
| 53 | ABRAHAMSEN Jonas | 78 |
| 56 | HANSEN Dan Erik | 80 |