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 = -0.4 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Caldeira
1
76 kgAberasturi
2
69 kgStępniak
4
75 kgShilov
5
67 kgCardoso
6
70 kgGonçalves
8
70 kgCarvalho
9
62 kg
1
76 kgAberasturi
2
69 kgStępniak
4
75 kgShilov
5
67 kgCardoso
6
70 kgGonçalves
8
70 kgCarvalho
9
62 kg
Weight (KG) →
Result →
76
62
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CALDEIRA Samuel José | 76 |
| 2 | ABERASTURI Jon | 69 |
| 4 | STĘPNIAK Grzegorz | 75 |
| 5 | SHILOV Sergey | 67 |
| 6 | CARDOSO Filipe | 70 |
| 8 | GONÇALVES José | 70 |
| 9 | CARVALHO Antonio | 62 |