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 - 19
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Fahlin
1
63 kgPieters
2
58 kgBrand
4
57 kgRamsden
5
62 kgvan den Broek-Blaak
6
64 kgBrennauer
9
63 kg
1
63 kgPieters
2
58 kgBrand
4
57 kgRamsden
5
62 kgvan den Broek-Blaak
6
64 kgBrennauer
9
63 kg
Weight (KG) →
Result →
64
57
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FAHLIN Emilia | 63 |
| 2 | PIETERS Amy | 58 |
| 4 | BRAND Lucinda | 57 |
| 5 | RAMSDEN Denise | 62 |
| 6 | VAN DEN BROEK-BLAAK Chantal | 64 |
| 9 | BRENNAUER Lisa | 63 |