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 = 0.4 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Serrano
3
63 kgZarrabeitia
4
63 kgRominger
6
65 kgEscartín
7
61 kgBlanco
8
66 kgDomínguez
9
64 kg
3
63 kgZarrabeitia
4
63 kgRominger
6
65 kgEscartín
7
61 kgBlanco
8
66 kgDomínguez
9
64 kg
Weight (KG) →
Result →
66
61
3
9
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SERRANO Marcos Antonio | 63 |
| 4 | ZARRABEITIA Mikel | 63 |
| 6 | ROMINGER Tony | 65 |
| 7 | ESCARTÍN Fernando | 61 |
| 8 | BLANCO Santiago | 66 |
| 9 | DOMÍNGUEZ Juan Carlos | 64 |