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.
Bole
1
69 kgNaser
4
62 kgWijfje
6
66 kgPascual
9
66 kgVerhoeff
10
76 kgLagab
11
63 kgClauss
12
71 kgSteman
14
71 kg
1
69 kgNaser
4
62 kgWijfje
6
66 kgPascual
9
66 kgVerhoeff
10
76 kgLagab
11
63 kgClauss
12
71 kgSteman
14
71 kg
Weight (KG) →
Result →
76
62
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOLE Grega | 69 |
| 4 | NASER Ahmed | 62 |
| 6 | WIJFJE Tom | 66 |
| 9 | PASCUAL Eusebio | 66 |
| 10 | VERHOEFF Stefan | 76 |
| 11 | LAGAB Azzedine | 63 |
| 12 | CLAUSS Marc | 71 |
| 14 | STEMAN Jip | 71 |