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 = 2.3 * weight - 138
This means that on average for every extra kilogram weight a rider loses 2.3 positions in the result.
Lunghi
1
61 kgCunego
2
58 kgMizbani
3
67 kgAggiano
6
63 kgCarrara
38
67 kg
1
61 kgCunego
2
58 kgMizbani
3
67 kgAggiano
6
63 kgCarrara
38
67 kg
Weight (KG) →
Result →
67
58
1
38
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LUNGHI Denis | 61 |
| 2 | CUNEGO Damiano | 58 |
| 3 | MIZBANI Ghader | 67 |
| 6 | AGGIANO Elio | 63 |
| 38 | CARRARA Matteo | 67 |