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 + 25
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Valenti
1
69 kgSato
2
63 kgBoyle
4
77 kgHadfield
5
73 kgGiammarella
6
62 kgRenaud-Tremblay
13
60 kg
1
69 kgSato
2
63 kgBoyle
4
77 kgHadfield
5
73 kgGiammarella
6
62 kgRenaud-Tremblay
13
60 kg
Weight (KG) →
Result →
77
60
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VALENTI Luke | 69 |
| 2 | SATO Marc | 63 |
| 4 | BOYLE Evan | 77 |
| 5 | HADFIELD Gavin | 73 |
| 6 | GIAMMARELLA Adamo | 62 |
| 13 | RENAUD-TREMBLAY Sasha | 60 |