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 = 0.1 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Stüssi
1
68 kgCarvalho
3
62 kgEsparza
4
55 kgFernandes
5
63 kgAgirre
6
55 kgRota
8
64 kgCamargo
9
65 kgOkamika
10
70 kg
1
68 kgCarvalho
3
62 kgEsparza
4
55 kgFernandes
5
63 kgAgirre
6
55 kgRota
8
64 kgCamargo
9
65 kgOkamika
10
70 kg
Weight (KG) →
Result →
70
55
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STÜSSI Colin | 68 |
| 3 | CARVALHO Antonio | 62 |
| 4 | ESPARZA Unai | 55 |
| 5 | FERNANDES Luís | 63 |
| 6 | AGIRRE Jon | 55 |
| 8 | ROTA Raúl | 64 |
| 9 | CAMARGO Diego Andrés | 65 |
| 10 | OKAMIKA Ander | 70 |