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 = 0.9 * weight - 43
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Lopes
1
59 kgSilva
2
69 kgBental
6
57 kgDarder
7
67 kgPinto
21
65 kgRaymond
32
67 kg
1
59 kgSilva
2
69 kgBental
6
57 kgDarder
7
67 kgPinto
21
65 kgRaymond
32
67 kg
Weight (KG) →
Result →
69
57
1
32
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LOPES Lucas | 59 |
| 2 | SILVA João | 69 |
| 6 | BENTAL Aviv | 57 |
| 7 | DARDER Sergi | 67 |
| 21 | PINTO Diogo | 65 |
| 32 | RAYMOND Louis | 67 |