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 - 27
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Rominger
1
65 kgWalton
2
68 kgHodge
4
74 kgSvorada
5
76 kgJaskuła
6
76 kgBortolami
8
73 kg
1
65 kgWalton
2
68 kgHodge
4
74 kgSvorada
5
76 kgJaskuła
6
76 kgBortolami
8
73 kg
Weight (KG) →
Result →
76
65
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROMINGER Tony | 65 |
| 2 | WALTON Brian | 68 |
| 4 | HODGE Stephen | 74 |
| 5 | SVORADA Ján | 76 |
| 6 | JASKUŁA Zenon | 76 |
| 8 | BORTOLAMI Gianluca | 73 |