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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Vorganov
4
65 kgPosthuma
5
76 kgMahorič
6
68 kgVastaranta
8
63 kgDuclos-Lassalle
9
63 kg
4
65 kgPosthuma
5
76 kgMahorič
6
68 kgVastaranta
8
63 kgDuclos-Lassalle
9
63 kg
Weight (KG) →
Result →
76
63
4
9
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | VORGANOV Eduard | 65 |
| 5 | POSTHUMA Joost | 76 |
| 6 | MAHORIČ Mitja | 68 |
| 8 | VASTARANTA Jukka | 63 |
| 9 | DUCLOS-LASSALLE Hervé | 63 |