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 kgPiziks
2
70 kgLafis
3
78 kgBlaudzun
4
66 kgChanteur
5
62 kgEkimov
6
69 kgZamana
7
74 kgHøj
10
80 kg
1
68 kgPiziks
2
70 kgLafis
3
78 kgBlaudzun
4
66 kgChanteur
5
62 kgEkimov
6
69 kgZamana
7
74 kgHøj
10
80 kg
Weight (KG) →
Result →
80
62
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BROCHARD Laurent | 68 |
| 2 | PIZIKS Arvis | 70 |
| 3 | LAFIS Michel | 78 |
| 4 | BLAUDZUN Michael | 66 |
| 5 | CHANTEUR Pascal | 62 |
| 6 | EKIMOV Viatcheslav | 69 |
| 7 | ZAMANA Cezary | 74 |
| 10 | HØJ Frank | 80 |