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 = -0.1 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Aja
4
66 kgHinault
9
62 kgBernaudeau
12
64 kgElorriaga
33
85 kgvan Katwijk
43
75 kgDidier
63
67 kgMcCormack
67
57 kg
4
66 kgHinault
9
62 kgBernaudeau
12
64 kgElorriaga
33
85 kgvan Katwijk
43
75 kgDidier
63
67 kgMcCormack
67
57 kg
Weight (KG) →
Result →
85
57
4
67
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | AJA Gonzalo | 66 |
| 9 | HINAULT Bernard | 62 |
| 12 | BERNAUDEAU Jean-René | 64 |
| 33 | ELORRIAGA Javier Francisco | 85 |
| 43 | VAN KATWIJK Fons | 75 |
| 63 | DIDIER Lucien | 67 |
| 67 | MCCORMACK Alan | 57 |