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 + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Marche
2
58 kgGarfoot
4
56 kgElvin
6
63 kgSpratt
7
55 kgKitchen
9
60 kgRoy
11
66 kgAllen
15
55 kg
2
58 kgGarfoot
4
56 kgElvin
6
63 kgSpratt
7
55 kgKitchen
9
60 kgRoy
11
66 kgAllen
15
55 kg
Weight (KG) →
Result →
66
55
2
15
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MARCHE Shara | 58 |
| 4 | GARFOOT Katrin | 56 |
| 6 | ELVIN Gracie | 63 |
| 7 | SPRATT Amanda | 55 |
| 9 | KITCHEN Lauren | 60 |
| 11 | ROY Sarah | 66 |
| 15 | ALLEN Jessica | 55 |