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 + 32
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Wild
1
75 kgvan den Broek-Blaak
3
64 kgOlds
5
54 kgHosking
7
60 kgGuarischi
9
57 kgGarfoot
11
56 kgMustonen
12
58 kg
1
75 kgvan den Broek-Blaak
3
64 kgOlds
5
54 kgHosking
7
60 kgGuarischi
9
57 kgGarfoot
11
56 kgMustonen
12
58 kg
Weight (KG) →
Result →
75
54
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WILD Kirsten | 75 |
| 3 | VAN DEN BROEK-BLAAK Chantal | 64 |
| 5 | OLDS Shelley | 54 |
| 7 | HOSKING Chloe | 60 |
| 9 | GUARISCHI Barbara | 57 |
| 11 | GARFOOT Katrin | 56 |
| 12 | MUSTONEN Sara | 58 |