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 = 2.4 * weight - 162
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
De Wilde
1
70 kgRaas
2
72 kgVanderaerden
3
74 kgKelly
20
77 kgSergeant
22
76 kgDemol
24
72 kg
1
70 kgRaas
2
72 kgVanderaerden
3
74 kgKelly
20
77 kgSergeant
22
76 kgDemol
24
72 kg
Weight (KG) →
Result →
77
70
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE WILDE Etienne | 70 |
| 2 | RAAS Jan | 72 |
| 3 | VANDERAERDEN Eric | 74 |
| 20 | KELLY Sean | 77 |
| 22 | SERGEANT Marc | 76 |
| 24 | DEMOL Dirk | 72 |