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 = 1.7 * weight - 96
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Kostyuk
4
66 kgLagutin
5
68 kgSella
6
54 kgBrajkovič
7
60 kgGusev
8
67 kgDueñas
9
61 kgCorioni
26
67 kgKemps
51
73 kg
4
66 kgLagutin
5
68 kgSella
6
54 kgBrajkovič
7
60 kgGusev
8
67 kgDueñas
9
61 kgCorioni
26
67 kgKemps
51
73 kg
Weight (KG) →
Result →
73
54
4
51
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | KOSTYUK Denys | 66 |
| 5 | LAGUTIN Sergey | 68 |
| 6 | SELLA Emanuele | 54 |
| 7 | BRAJKOVIČ Janez | 60 |
| 8 | GUSEV Vladimir | 67 |
| 9 | DUEÑAS Moisés | 61 |
| 26 | CORIONI Claudio | 67 |
| 51 | KEMPS Aaron | 73 |