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 = -0.1 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Marche
1
58 kgSpratt
7
55 kgElvin
8
63 kgGarfoot
14
56 kgRoy
16
66 kgAllen
23
55 kg
1
58 kgSpratt
7
55 kgElvin
8
63 kgGarfoot
14
56 kgRoy
16
66 kgAllen
23
55 kg
Weight (KG) →
Result →
66
55
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARCHE Shara | 58 |
| 7 | SPRATT Amanda | 55 |
| 8 | ELVIN Gracie | 63 |
| 14 | GARFOOT Katrin | 56 |
| 16 | ROY Sarah | 66 |
| 23 | ALLEN Jessica | 55 |