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 - 23
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KRAMER Jesse | 74 |
| 2 | ROOTKIN-GRAY Jack | 67 |
| 3 | BOVEN Lars | 62 |
| 4 | SIMMONS Colby | 68 |
| 5 | HOHMANN Lars | 73 |
| 9 | VAN MECHELEN Vlad | 78 |
| 10 | PICKRELL Riley | 72 |
| 14 | PORTSMOUTH Tom | 70 |
| 16 | LAMBRECHT Michiel | 75 |
| 18 | JOCHUM Ben Felix | 76 |
| 20 | LUBBERS Christiaan | 68 |