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 = 16.6 * weight - 985
This means that on average for every extra kilogram weight a rider loses 16.6 positions in the result.
Moser
3
79 kgDelgado
6
64 kgMujika
30
73 kgPollentier
32
62 kgVilamajo
49
70 kgMartinelli
990
74 kg
3
79 kgDelgado
6
64 kgMujika
30
73 kgPollentier
32
62 kgVilamajo
49
70 kgMartinelli
990
74 kg
Weight (KG) →
Result →
79
62
3
990
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MOSER Francesco | 79 |
| 6 | DELGADO Pedro | 64 |
| 30 | MUJIKA Jokin | 73 |
| 32 | POLLENTIER Michel | 62 |
| 49 | VILAMAJO Jaime | 70 |
| 990 | MARTINELLI Giuseppe | 74 |