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 - 13
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Earley
3
62 kgLilholt
4
72 kgHolm Sørensen
7
77 kgKelly
9
77 kgGianetti
12
62 kgElliott
16
76 kgHoste
19
76 kg
3
62 kgLilholt
4
72 kgHolm Sørensen
7
77 kgKelly
9
77 kgGianetti
12
62 kgElliott
16
76 kgHoste
19
76 kg
Weight (KG) →
Result →
77
62
3
19
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | EARLEY Martin | 62 |
| 4 | LILHOLT Søren | 72 |
| 7 | HOLM SØRENSEN Brian | 77 |
| 9 | KELLY Sean | 77 |
| 12 | GIANETTI Mauro | 62 |
| 16 | ELLIOTT Malcolm | 76 |
| 19 | HOSTE Frank | 76 |