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 = 0.8 * weight - 43
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Canty
2
60 kgCataford
11
70 kgCataford
12
70 kgDal-Cin
14
77 kgBoivin
17
78 kg
2
60 kgCataford
11
70 kgCataford
12
70 kgDal-Cin
14
77 kgBoivin
17
78 kg
Weight (KG) →
Result →
78
60
2
17
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CANTY Brendan | 60 |
| 11 | CATAFORD Alexander | 70 |
| 12 | CATAFORD Alexander | 70 |
| 14 | DAL-CIN Matteo | 77 |
| 17 | BOIVIN Guillaume | 78 |