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 = 1.2 * weight - 66
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Kostyuk
2
66 kgGusev
4
67 kgLagutin
5
68 kgDueñas
6
61 kgBrajkovič
7
60 kgSella
9
54 kgCorioni
21
67 kgKemps
42
73 kg
2
66 kgGusev
4
67 kgLagutin
5
68 kgDueñas
6
61 kgBrajkovič
7
60 kgSella
9
54 kgCorioni
21
67 kgKemps
42
73 kg
Weight (KG) →
Result →
73
54
2
42
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KOSTYUK Denys | 66 |
| 4 | GUSEV Vladimir | 67 |
| 5 | LAGUTIN Sergey | 68 |
| 6 | DUEÑAS Moisés | 61 |
| 7 | BRAJKOVIČ Janez | 60 |
| 9 | SELLA Emanuele | 54 |
| 21 | CORIONI Claudio | 67 |
| 42 | KEMPS Aaron | 73 |