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 = -0.7 * weight + 53
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Belloni
1
75 kgBuysse
3
72 kgLucotti
4
67 kgEgg
5
72 kgBertarelli
10
68 kg
1
75 kgBuysse
3
72 kgLucotti
4
67 kgEgg
5
72 kgBertarelli
10
68 kg
Weight (KG) →
Result →
75
67
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BELLONI Gaetano | 75 |
| 3 | BUYSSE Marcel | 72 |
| 4 | LUCOTTI Luigi Natale | 67 |
| 5 | EGG Oscar | 72 |
| 10 | BERTARELLI Camillo | 68 |