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 = -0.4 * weight + 53
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Didier
5
67 kgHinault
7
62 kgElorriaga
10
85 kgBernaudeau
18
64 kgAja
35
66 kgMcCormack
58
57 kgvan Katwijk
67
75 kg
5
67 kgHinault
7
62 kgElorriaga
10
85 kgBernaudeau
18
64 kgAja
35
66 kgMcCormack
58
57 kgvan Katwijk
67
75 kg
Weight (KG) →
Result →
85
57
5
67
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | DIDIER Lucien | 67 |
| 7 | HINAULT Bernard | 62 |
| 10 | ELORRIAGA Javier Francisco | 85 |
| 18 | BERNAUDEAU Jean-René | 64 |
| 35 | AJA Gonzalo | 66 |
| 58 | MCCORMACK Alan | 57 |
| 67 | VAN KATWIJK Fons | 75 |