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 = 0.2 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Brochard
1
68 kgBlaudzun
2
66 kgRué
6
74 kgChanteur
7
62 kgLafis
9
78 kgMattan
10
69 kg
1
68 kgBlaudzun
2
66 kgRué
6
74 kgChanteur
7
62 kgLafis
9
78 kgMattan
10
69 kg
Weight (KG) →
Result →
78
62
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BROCHARD Laurent | 68 |
| 2 | BLAUDZUN Michael | 66 |
| 6 | RUÉ Gérard | 74 |
| 7 | CHANTEUR Pascal | 62 |
| 9 | LAFIS Michel | 78 |
| 10 | MATTAN Nico | 69 |