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 = -2.5 * weight + 179
This means that on average for every extra kilogram weight a rider loses -2.5 positions in the result.
Wong
5
65 kgCarrara
13
67 kgAggiano
16
63 kgCunego
20
58 kgLunghi
53
61 kg
5
65 kgCarrara
13
67 kgAggiano
16
63 kgCunego
20
58 kgLunghi
53
61 kg
Weight (KG) →
Result →
67
58
5
53
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | WONG Kam-Po | 65 |
| 13 | CARRARA Matteo | 67 |
| 16 | AGGIANO Elio | 63 |
| 20 | CUNEGO Damiano | 58 |
| 53 | LUNGHI Denis | 61 |