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 - 9
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Alafaci
3
77 kgDoull
6
71 kgCecchin
9
70 kgSilvestre
10
78 kgvan der Poel
13
75 kgGrigorev
15
73 kgBrusselman
22
76 kg
3
77 kgDoull
6
71 kgCecchin
9
70 kgSilvestre
10
78 kgvan der Poel
13
75 kgGrigorev
15
73 kgBrusselman
22
76 kg
Weight (KG) →
Result →
78
70
3
22
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ALAFACI Eugenio | 77 |
| 6 | DOULL Owain | 71 |
| 9 | CECCHIN Alberto | 70 |
| 10 | SILVESTRE Fábio | 78 |
| 13 | VAN DER POEL David | 75 |
| 15 | GRIGOREV Aleksandr | 73 |
| 22 | BRUSSELMAN Twan | 76 |