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 = 0.2 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUARDINI Andrea | 66 |
| 3 | SALEH Mohd Harrif | 70 |
| 4 | VAN HUMMEL Kenny | 64 |
| 5 | COMMEYNE Davy | 70 |
| 7 | CLARKE Hilton | 70 |
| 8 | SHPILEVSKY Boris | 78 |
| 9 | PARK Sung Baek | 73 |
| 12 | BROWN Arran | 75 |
| 13 | KREDER Raymond | 70 |
| 16 | KITTEL Marcel | 82 |
| 17 | SCHULZE André | 70 |
| 18 | JANG Chan Jae | 64 |
| 19 | STALLAERT Joeri | 72 |
| 20 | CARLSEN Kirk | 68 |
| 21 | PASQUALON Andrea | 75 |
| 22 | BOURGEOIS Guillaume | 61 |
| 25 | HAGHI Alireza | 78 |