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 = 0.3 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Ťoupalík
1
65 kgDunbar
3
57 kgVlasov
6
68 kgKurianov
7
74 kgEriksson
8
64 kgOliveira
9
68 kg
1
65 kgDunbar
3
57 kgVlasov
6
68 kgKurianov
7
74 kgEriksson
8
64 kgOliveira
9
68 kg
Weight (KG) →
Result →
74
57
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ŤOUPALÍK Adam | 65 |
| 3 | DUNBAR Eddie | 57 |
| 6 | VLASOV Aleksandr | 68 |
| 7 | KURIANOV Stepan | 74 |
| 8 | ERIKSSON Lucas | 64 |
| 9 | OLIVEIRA Ivo | 68 |