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 = -0.5 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Elliott
3
76 kgLilholt
5
72 kgDomínguez
6
67 kgSaronni
8
65 kgEarley
10
62 kg
3
76 kgLilholt
5
72 kgDomínguez
6
67 kgSaronni
8
65 kgEarley
10
62 kg
Weight (KG) →
Result →
76
62
3
10
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ELLIOTT Malcolm | 76 |
| 5 | LILHOLT Søren | 72 |
| 6 | DOMÍNGUEZ Manuel Jorge | 67 |
| 8 | SARONNI Giuseppe | 65 |
| 10 | EARLEY Martin | 62 |