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 - 36
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Vlaemynck
1
63 kgArchambaud
3
66 kgMauclair
6
67 kgHardiquest
7
72 kgAerts
8
70 kgDe Caluwé
9
75 kgLachat
10
68 kg
1
63 kgArchambaud
3
66 kgMauclair
6
67 kgHardiquest
7
72 kgAerts
8
70 kgDe Caluwé
9
75 kgLachat
10
68 kg
Weight (KG) →
Result →
75
63
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VLAEMYNCK Lucien | 63 |
| 3 | ARCHAMBAUD Maurice | 66 |
| 6 | MAUCLAIR Joseph | 67 |
| 7 | HARDIQUEST Louis | 72 |
| 8 | AERTS Jean | 70 |
| 9 | DE CALUWÉ Edgard | 75 |
| 10 | LACHAT Georges | 68 |