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 = 18.1 * weight - 1093
This means that on average for every extra kilogram weight a rider loses 18.1 positions in the result.
Pollentier
8
62 kgDelgado
11
64 kgMoser
16
79 kgVilamajo
37
70 kgMujika
40
73 kgMartinelli
990
74 kg
8
62 kgDelgado
11
64 kgMoser
16
79 kgVilamajo
37
70 kgMujika
40
73 kgMartinelli
990
74 kg
Weight (KG) →
Result →
79
62
8
990
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | POLLENTIER Michel | 62 |
| 11 | DELGADO Pedro | 64 |
| 16 | MOSER Francesco | 79 |
| 37 | VILAMAJO Jaime | 70 |
| 40 | MUJIKA Jokin | 73 |
| 990 | MARTINELLI Giuseppe | 74 |