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 = 0.2 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Fuglsang
7
67 kgKvachuk
9
68 kgMatveyev
13
78 kgNaibo
14
62 kgRasmussen
15
88 kg
7
67 kgKvachuk
9
68 kgMatveyev
13
78 kgNaibo
14
62 kgRasmussen
15
88 kg
Weight (KG) →
Result →
88
62
7
15
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | FUGLSANG Jakob | 67 |
| 9 | KVACHUK Oleksandr | 68 |
| 13 | MATVEYEV Sergiy | 78 |
| 14 | NAIBO Carl | 62 |
| 15 | RASMUSSEN Alex | 88 |