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 = 1.2 * weight - 62
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Lopes
1
59 kgDarder
2
67 kgSilva
5
69 kgBental
9
57 kgDejesus
29
68 kgPinto
30
65 kgTaboada
34
65 kgRaymond
38
67 kg
1
59 kgDarder
2
67 kgSilva
5
69 kgBental
9
57 kgDejesus
29
68 kgPinto
30
65 kgTaboada
34
65 kgRaymond
38
67 kg
Weight (KG) →
Result →
69
57
1
38
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LOPES Lucas | 59 |
| 2 | DARDER Sergi | 67 |
| 5 | SILVA João | 69 |
| 9 | BENTAL Aviv | 57 |
| 29 | DEJESUS Lois | 68 |
| 30 | PINTO Diogo | 65 |
| 34 | TABOADA Andrés | 65 |
| 38 | RAYMOND Louis | 67 |