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 = 1.4 * weight - 74
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Parenteau
1
68 kgGaida
14
65 kgOvion
15
64 kgMartin
18
62 kgMourioux
25
71 kgKuiper
33
69 kgTischler
37
79 kg
1
68 kgGaida
14
65 kgOvion
15
64 kgMartin
18
62 kgMourioux
25
71 kgKuiper
33
69 kgTischler
37
79 kg
Weight (KG) →
Result →
79
62
1
37
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PARENTEAU Jean-Pierre | 68 |
| 14 | GAIDA Alfred | 65 |
| 15 | OVION Régis | 64 |
| 18 | MARTIN Raymond | 62 |
| 25 | MOURIOUX Jacques | 71 |
| 33 | KUIPER Hennie | 69 |
| 37 | TISCHLER Erwin | 79 |