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 = -0.8 * weight + 94
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Pollentier
1
62 kgMoser
16
79 kgMartinelli
28
74 kgDe Vlaeminck
37
74 kgVilamajo
41
70 kgDelgado
48
64 kgFernández
115
68 kg
1
62 kgMoser
16
79 kgMartinelli
28
74 kgDe Vlaeminck
37
74 kgVilamajo
41
70 kgDelgado
48
64 kgFernández
115
68 kg
Weight (KG) →
Result →
79
62
1
115
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POLLENTIER Michel | 62 |
| 16 | MOSER Francesco | 79 |
| 28 | MARTINELLI Giuseppe | 74 |
| 37 | DE VLAEMINCK Roger | 74 |
| 41 | VILAMAJO Jaime | 70 |
| 48 | DELGADO Pedro | 64 |
| 115 | FERNÁNDEZ Juan | 68 |