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 - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Salmon
3
59 kgStokbro
4
70 kgHaller
5
68 kgSivakov
7
70 kgLambrecht
8
56 kgO'Loughlin
11
72 kg
3
59 kgStokbro
4
70 kgHaller
5
68 kgSivakov
7
70 kgLambrecht
8
56 kgO'Loughlin
11
72 kg
Weight (KG) →
Result →
72
56
3
11
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SALMON Martin | 59 |
| 4 | STOKBRO Andreas | 70 |
| 5 | HALLER Patrick | 68 |
| 7 | SIVAKOV Pavel | 70 |
| 8 | LAMBRECHT Bjorg | 56 |
| 11 | O'LOUGHLIN Michael | 72 |