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 = 2.7 * weight - 185
This means that on average for every extra kilogram weight a rider loses 2.7 positions in the result.
Planckaert
1
69 kgVanderaerden
9
74 kgRaas
11
72 kgSergeant
19
76 kgRoche
25
74 kg
1
69 kgVanderaerden
9
74 kgRaas
11
72 kgSergeant
19
76 kgRoche
25
74 kg
Weight (KG) →
Result →
76
69
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PLANCKAERT Eddy | 69 |
| 9 | VANDERAERDEN Eric | 74 |
| 11 | RAAS Jan | 72 |
| 19 | SERGEANT Marc | 76 |
| 25 | ROCHE Stephen | 74 |