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 + 29
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOASSON HAGEN Edvald | 75 |
| 2 | VANGSTAD Andreas | 70 |
| 3 | SKJERPING Kristoffer | 71 |
| 5 | FOSS Tobias | 74 |
| 9 | TILLER Rasmus | 84 |
| 10 | KORSÆTH Truls Engen | 84 |
| 12 | SLEEN Torjus | 65 |
| 13 | AASVOLD Kristian | 61 |
| 28 | EIKELAND Ken Levi | 68 |
| 31 | BJERKESTRAND HAUGSVÆR Sindre | 75 |
| 34 | ERIKSEN Stein-Erik | 74 |
| 35 | TRÆEN Torstein | 63 |
| 47 | ABRAHAMSEN Jonas | 78 |
| 52 | HANSEN Dan Erik | 80 |
| 76 | SKJELBRED Aleksander | 69 |