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 = 43.6 * weight - 2256
This means that on average for every extra kilogram weight a rider loses 43.6 positions in the result.
Maertens
2
65 kgZoetemelk
4
68 kgDucreux
990
65 kgOvion
990
64 kgPijnen
990
72 kgPoulidor
990
71 kgMourioux
990
71 kg
2
65 kgZoetemelk
4
68 kgDucreux
990
65 kgOvion
990
64 kgPijnen
990
72 kgPoulidor
990
71 kgMourioux
990
71 kg
Weight (KG) →
Result →
72
64
2
990
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MAERTENS Freddy | 65 |
| 4 | ZOETEMELK Joop | 68 |
| 990 | DUCREUX Daniel | 65 |
| 990 | OVION Régis | 64 |
| 990 | PIJNEN René | 72 |
| 990 | POULIDOR Raymond | 71 |
| 990 | MOURIOUX Jacques | 71 |