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 = 0.9 * weight - 52
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Heppner
3
69 kgImboden
5
70 kgSunderland
8
65 kgvan der Poel
11
70 kgSvorada
12
76 kgAndreu
18
77 kg
3
69 kgImboden
5
70 kgSunderland
8
65 kgvan der Poel
11
70 kgSvorada
12
76 kgAndreu
18
77 kg
Weight (KG) →
Result →
77
65
3
18
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | HEPPNER Jens | 69 |
| 5 | IMBODEN Heinz | 70 |
| 8 | SUNDERLAND Scott | 65 |
| 11 | VAN DER POEL Adrie | 70 |
| 12 | SVORADA Ján | 76 |
| 18 | ANDREU Frankie | 77 |