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 - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Cunego
1
58 kgMizbani
2
67 kgAggiano
4
63 kgLangella
5
76 kgLunghi
9
61 kgCarrara
13
67 kg
1
58 kgMizbani
2
67 kgAggiano
4
63 kgLangella
5
76 kgLunghi
9
61 kgCarrara
13
67 kg
Weight (KG) →
Result →
76
58
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CUNEGO Damiano | 58 |
| 2 | MIZBANI Ghader | 67 |
| 4 | AGGIANO Elio | 63 |
| 5 | LANGELLA Anthony | 76 |
| 9 | LUNGHI Denis | 61 |
| 13 | CARRARA Matteo | 67 |