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 = 36.5 * weight - 1845
This means that on average for every extra kilogram weight a rider loses 36.5 positions in the result.
Vilamajo
2
70 kgPollentier
31
62 kgMoser
990
79 kgDelgado
990
64 kgFernández
990
68 kgMujika
990
73 kgMartinelli
990
74 kg
2
70 kgPollentier
31
62 kgMoser
990
79 kgDelgado
990
64 kgFernández
990
68 kgMujika
990
73 kgMartinelli
990
74 kg
Weight (KG) →
Result →
79
62
2
990
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VILAMAJO Jaime | 70 |
| 31 | POLLENTIER Michel | 62 |
| 990 | MOSER Francesco | 79 |
| 990 | DELGADO Pedro | 64 |
| 990 | FERNÁNDEZ Juan | 68 |
| 990 | MUJIKA Jokin | 73 |
| 990 | MARTINELLI Giuseppe | 74 |