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 = 1.5 * weight - 79
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Delgado
4
64 kgMoser
10
79 kgPollentier
13
62 kgVilamajo
34
70 kgMujika
49
73 kgMartinelli
67
74 kg
4
64 kgMoser
10
79 kgPollentier
13
62 kgVilamajo
34
70 kgMujika
49
73 kgMartinelli
67
74 kg
Weight (KG) →
Result →
79
62
4
67
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | DELGADO Pedro | 64 |
| 10 | MOSER Francesco | 79 |
| 13 | POLLENTIER Michel | 62 |
| 34 | VILAMAJO Jaime | 70 |
| 49 | MUJIKA Jokin | 73 |
| 67 | MARTINELLI Giuseppe | 74 |