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 = 0.1 * weight + 7
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Planckaert
3
69 kgSciandri
11
75 kgSørensen
13
70 kgDomínguez
14
67 kgKelly
15
77 kgSergeant
16
76 kgOvando
18
66 kg
3
69 kgSciandri
11
75 kgSørensen
13
70 kgDomínguez
14
67 kgKelly
15
77 kgSergeant
16
76 kgOvando
18
66 kg
Weight (KG) →
Result →
77
66
3
18
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PLANCKAERT Eddy | 69 |
| 11 | SCIANDRI Maximilian | 75 |
| 13 | SØRENSEN Rolf | 70 |
| 14 | DOMÍNGUEZ Manuel Jorge | 67 |
| 15 | KELLY Sean | 77 |
| 16 | SERGEANT Marc | 76 |
| 18 | OVANDO Rolando | 66 |