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 = 0.8 * weight - 36
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Mejia
3
63 kgEscartín
7
61 kgBruyneel
14
71 kgZarrabeitia
15
63 kgCasagrande
20
64 kgDelgado
21
64 kgDonati
23
75 kg
3
63 kgEscartín
7
61 kgBruyneel
14
71 kgZarrabeitia
15
63 kgCasagrande
20
64 kgDelgado
21
64 kgDonati
23
75 kg
Weight (KG) →
Result →
75
61
3
23
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MEJIA Alvaro | 63 |
| 7 | ESCARTÍN Fernando | 61 |
| 14 | BRUYNEEL Johan | 71 |
| 15 | ZARRABEITIA Mikel | 63 |
| 20 | CASAGRANDE Francesco | 64 |
| 21 | DELGADO Pedro | 64 |
| 23 | DONATI Massimo | 75 |