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 = -0.4 * weight + 44
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
van der Poel
1
70 kgPlanckaert
7
69 kgvan Vliet
8
65 kgDe Wilde
10
70 kgNevens
28
58 kgIlegems
30
74 kg
1
70 kgPlanckaert
7
69 kgvan Vliet
8
65 kgDe Wilde
10
70 kgNevens
28
58 kgIlegems
30
74 kg
Weight (KG) →
Result →
74
58
1
30
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DER POEL Adrie | 70 |
| 7 | PLANCKAERT Eddy | 69 |
| 8 | VAN VLIET Leo | 65 |
| 10 | DE WILDE Etienne | 70 |
| 28 | NEVENS Jan | 58 |
| 30 | ILEGEMS Roger | 74 |