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 = 28.4 * weight - 1492
This means that on average for every extra kilogram weight a rider loses 28.4 positions in the result.
Moser
11
79 kgPollentier
12
62 kgDelgado
18
64 kgVilamajo
990
70 kgMujika
990
73 kgMartinelli
990
74 kg
11
79 kgPollentier
12
62 kgDelgado
18
64 kgVilamajo
990
70 kgMujika
990
73 kgMartinelli
990
74 kg
Weight (KG) →
Result →
79
62
11
990
| # | Rider | Weight (KG) |
|---|---|---|
| 11 | MOSER Francesco | 79 |
| 12 | POLLENTIER Michel | 62 |
| 18 | DELGADO Pedro | 64 |
| 990 | VILAMAJO Jaime | 70 |
| 990 | MUJIKA Jokin | 73 |
| 990 | MARTINELLI Giuseppe | 74 |