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 = 2.8 * weight - 150
This means that on average for every extra kilogram weight a rider loses 2.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HORNER Chris | 70 |
| 5 | KILLEEN Liam | 65 |
| 6 | FRATTINI Davide | 63 |
| 7 | VAN DEN BROECK Jurgen | 69 |
| 8 | MITCHELL Glen | 70 |
| 13 | MCCARTY Jonathan Patrick | 68 |
| 14 | FRISCHKORN William | 68 |
| 21 | LEWIS Craig | 65 |
| 30 | WOHLBERG Eric | 63 |
| 46 | ABE Yoshiyuki | 67 |
| 49 | SUZUKI Shinri | 60 |
| 67 | DUGGAN Timothy | 60 |
| 69 | HAEDO Juan José | 73 |
| 73 | PATE Danny | 73 |
| 84 | FRASER Gordon | 71 |
| 89 | DOMÍNGUEZ Iván | 72 |
| 93 | HENDERSON Gregory | 75 |