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 = 0.4 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Caruso
1
60 kgPopovych
2
64 kgCunego
3
58 kgPellizotti
4
64 kgRogina
7
70 kg
1
60 kgPopovych
2
64 kgCunego
3
58 kgPellizotti
4
64 kgRogina
7
70 kg
Weight (KG) →
Result →
70
58
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CARUSO Giampaolo | 60 |
| 2 | POPOVYCH Yaroslav | 64 |
| 3 | CUNEGO Damiano | 58 |
| 4 | PELLIZOTTI Franco | 64 |
| 7 | ROGINA Radoslav | 70 |