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 - 48
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Hinault
1
62 kgBernaudeau
5
64 kgAja
12
66 kgDidier
39
67 kgElorriaga
53
85 kgMcCormack
58
57 kgvan Katwijk
63
75 kg
1
62 kgBernaudeau
5
64 kgAja
12
66 kgDidier
39
67 kgElorriaga
53
85 kgMcCormack
58
57 kgvan Katwijk
63
75 kg
Weight (KG) →
Result →
85
57
1
63
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HINAULT Bernard | 62 |
| 5 | BERNAUDEAU Jean-René | 64 |
| 12 | AJA Gonzalo | 66 |
| 39 | DIDIER Lucien | 67 |
| 53 | ELORRIAGA Javier Francisco | 85 |
| 58 | MCCORMACK Alan | 57 |
| 63 | VAN KATWIJK Fons | 75 |