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 = 0.5 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Bole
2
69 kgNaser
3
62 kgPascual
7
66 kgWijfje
9
66 kgClauss
10
71 kgLagab
12
63 kgVerhoeff
16
76 kg
2
69 kgNaser
3
62 kgPascual
7
66 kgWijfje
9
66 kgClauss
10
71 kgLagab
12
63 kgVerhoeff
16
76 kg
Weight (KG) →
Result →
76
62
2
16
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BOLE Grega | 69 |
| 3 | NASER Ahmed | 62 |
| 7 | PASCUAL Eusebio | 66 |
| 9 | WIJFJE Tom | 66 |
| 10 | CLAUSS Marc | 71 |
| 12 | LAGAB Azzedine | 63 |
| 16 | VERHOEFF Stefan | 76 |