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 = 0.6 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Sergeant
5
76 kgNevens
7
58 kgDemol
9
72 kgDe Wilde
13
70 kgDernies
34
75 kg
5
76 kgNevens
7
58 kgDemol
9
72 kgDe Wilde
13
70 kgDernies
34
75 kg
Weight (KG) →
Result →
76
58
5
34
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | SERGEANT Marc | 76 |
| 7 | NEVENS Jan | 58 |
| 9 | DEMOL Dirk | 72 |
| 13 | DE WILDE Etienne | 70 |
| 34 | DERNIES Michel | 75 |