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 = 1.8 * weight - 104
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
De Wilde
5
70 kgSchepers
6
60 kgVanderaerden
9
74 kgPlanckaert
17
69 kgSergeant
24
76 kgIlegems
40
74 kgDernies
46
75 kg
5
70 kgSchepers
6
60 kgVanderaerden
9
74 kgPlanckaert
17
69 kgSergeant
24
76 kgIlegems
40
74 kgDernies
46
75 kg
Weight (KG) →
Result →
76
60
5
46
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | DE WILDE Etienne | 70 |
| 6 | SCHEPERS Eddy | 60 |
| 9 | VANDERAERDEN Eric | 74 |
| 17 | PLANCKAERT Eddy | 69 |
| 24 | SERGEANT Marc | 76 |
| 40 | ILEGEMS Roger | 74 |
| 46 | DERNIES Michel | 75 |