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 - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Norsgaard
1
65 kgHenderson
2
58 kgPieters
3
58 kgDeignan
4
57 kgBrand
5
57 kgKopecky
6
66 kgFahlin
7
63 kg
1
65 kgHenderson
2
58 kgPieters
3
58 kgDeignan
4
57 kgBrand
5
57 kgKopecky
6
66 kgFahlin
7
63 kg
Weight (KG) →
Result →
66
57
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NORSGAARD Emma | 65 |
| 2 | HENDERSON Anna | 58 |
| 3 | PIETERS Amy | 58 |
| 4 | DEIGNAN Elizabeth | 57 |
| 5 | BRAND Lucinda | 57 |
| 6 | KOPECKY Lotte | 66 |
| 7 | FAHLIN Emilia | 63 |