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 = -0.8 * weight + 66
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Bracke
2
79 kgPoulidor
4
71 kgHarrison
5
73 kgLasa
16
68 kgLasa
18
77 kgMarine
20
69 kg
2
79 kgPoulidor
4
71 kgHarrison
5
73 kgLasa
16
68 kgLasa
18
77 kgMarine
20
69 kg
Weight (KG) →
Result →
79
68
2
20
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BRACKE Ferdinand | 79 |
| 4 | POULIDOR Raymond | 71 |
| 5 | HARRISON Derek | 73 |
| 16 | LASA Miguel María | 68 |
| 18 | LASA José Manuel | 77 |
| 20 | MARINE Jorge | 69 |