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 - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Planckaert
3
69 kgDe Wilde
4
70 kgVanderaerden
6
74 kgSergeant
9
76 kgKelly
10
77 kgKuiper
13
69 kg
3
69 kgDe Wilde
4
70 kgVanderaerden
6
74 kgSergeant
9
76 kgKelly
10
77 kgKuiper
13
69 kg
Weight (KG) →
Result →
77
69
3
13
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PLANCKAERT Eddy | 69 |
| 4 | DE WILDE Etienne | 70 |
| 6 | VANDERAERDEN Eric | 74 |
| 9 | SERGEANT Marc | 76 |
| 10 | KELLY Sean | 77 |
| 13 | KUIPER Hennie | 69 |