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 = -1.2 * weight + 76
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Cooke
1
58 kgTeutenberg
3
64 kgWood
4
56 kgGilmore
5
56 kgFernandes
11
54 kgFernandes Silva
16
52 kgWrubleski
19
55 kg
1
58 kgTeutenberg
3
64 kgWood
4
56 kgGilmore
5
56 kgFernandes
11
54 kgFernandes Silva
16
52 kgWrubleski
19
55 kg
Weight (KG) →
Result →
64
52
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COOKE Nicole | 58 |
| 3 | TEUTENBERG Ina-Yoko | 64 |
| 4 | WOOD Oenone | 56 |
| 5 | GILMORE Rochelle | 56 |
| 11 | FERNANDES Clemilda | 54 |
| 16 | FERNANDES SILVA Janildes | 52 |
| 19 | WRUBLESKI Alex | 55 |