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 = 0.3 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Bongiorno
5
56 kgPacchiardo
6
60 kgZamparella
8
67 kgDi Sante
9
62 kgOrrico
10
70 kg
5
56 kgPacchiardo
6
60 kgZamparella
8
67 kgDi Sante
9
62 kgOrrico
10
70 kg
Weight (KG) →
Result →
70
56
5
10
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | BONGIORNO Francesco Manuel | 56 |
| 6 | PACCHIARDO Davide | 60 |
| 8 | ZAMPARELLA Marco | 67 |
| 9 | DI SANTE Antonio | 62 |
| 10 | ORRICO Davide | 70 |