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 = -0.6 * weight + 79
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Elorriaga
3
85 kgMcCormack
30
57 kgHinault
34
62 kgDidier
37
67 kgBernaudeau
41
64 kgAja
45
66 kgvan Katwijk
64
75 kg
3
85 kgMcCormack
30
57 kgHinault
34
62 kgDidier
37
67 kgBernaudeau
41
64 kgAja
45
66 kgvan Katwijk
64
75 kg
Weight (KG) →
Result →
85
57
3
64
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ELORRIAGA Javier Francisco | 85 |
| 30 | MCCORMACK Alan | 57 |
| 34 | HINAULT Bernard | 62 |
| 37 | DIDIER Lucien | 67 |
| 41 | BERNAUDEAU Jean-René | 64 |
| 45 | AJA Gonzalo | 66 |
| 64 | VAN KATWIJK Fons | 75 |