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 = 0.7 * weight - 32
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Cooke
1
58 kgWyman
5
56 kgHouvenaghel
9
60 kgBrammeier
15
60 kgDeignan
19
57 kg
1
58 kgWyman
5
56 kgHouvenaghel
9
60 kgBrammeier
15
60 kgDeignan
19
57 kg
Weight (KG) →
Result →
60
56
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COOKE Nicole | 58 |
| 5 | WYMAN Helen | 56 |
| 9 | HOUVENAGHEL Wendy | 60 |
| 15 | BRAMMEIER Nikki | 60 |
| 19 | DEIGNAN Elizabeth | 57 |