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 = 0.7 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Delgado
2
64 kgPollentier
10
62 kgMoser
19
79 kgVilamajo
52
70 kgFernández
63
68 kgMujika
65
73 kgSaronni
72
65 kg
2
64 kgPollentier
10
62 kgMoser
19
79 kgVilamajo
52
70 kgFernández
63
68 kgMujika
65
73 kgSaronni
72
65 kg
Weight (KG) →
Result →
79
62
2
72
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DELGADO Pedro | 64 |
| 10 | POLLENTIER Michel | 62 |
| 19 | MOSER Francesco | 79 |
| 52 | VILAMAJO Jaime | 70 |
| 63 | FERNÁNDEZ Juan | 68 |
| 65 | MUJIKA Jokin | 73 |
| 72 | SARONNI Giuseppe | 65 |