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 = 0.5 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Cooke
1
58 kgDeignan
2
57 kgBrammeier
7
60 kgRowe
8
65 kgMartin
9
57 kg
1
58 kgDeignan
2
57 kgBrammeier
7
60 kgRowe
8
65 kgMartin
9
57 kg
Weight (KG) →
Result →
65
57
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COOKE Nicole | 58 |
| 2 | DEIGNAN Elizabeth | 57 |
| 7 | BRAMMEIER Nikki | 60 |
| 8 | ROWE Danielle | 65 |
| 9 | MARTIN Lucy | 57 |