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 = -1.4 * weight + 87
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Laws
1
54 kgDeignan
2
57 kgBrammeier
4
60 kgCooke
6
58 kgBarnes
20
52 kg
1
54 kgDeignan
2
57 kgBrammeier
4
60 kgCooke
6
58 kgBarnes
20
52 kg
Weight (KG) →
Result →
60
52
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAWS Sharon | 54 |
| 2 | DEIGNAN Elizabeth | 57 |
| 4 | BRAMMEIER Nikki | 60 |
| 6 | COOKE Nicole | 58 |
| 20 | BARNES Hannah | 52 |