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 = -0.6 * weight + 72
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Van Looy
1
73 kgMomeñe
8
61 kgPoulidor
11
71 kgValada
63
62 kgDíaz
71
72 kg
1
73 kgMomeñe
8
61 kgPoulidor
11
71 kgValada
63
62 kgDíaz
71
72 kg
Weight (KG) →
Result →
73
61
1
71
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN LOOY Rik | 73 |
| 8 | MOMEÑE José Antonio | 61 |
| 11 | POULIDOR Raymond | 71 |
| 63 | VALADA Francisco Augusto da Conceição | 62 |
| 71 | DÍAZ Ventura | 72 |