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 = 0.1 * weight + 24
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DOMÍNGUEZ Iván | 72 |
| 2 | PATE Danny | 73 |
| 5 | HORNER Chris | 70 |
| 6 | VAN DEN BROECK Jurgen | 69 |
| 9 | MITCHELL Glen | 70 |
| 12 | FRATTINI Davide | 63 |
| 14 | KILLEEN Liam | 65 |
| 24 | LEWIS Craig | 65 |
| 32 | ABE Yoshiyuki | 67 |
| 36 | FRISCHKORN William | 68 |
| 37 | WOHLBERG Eric | 63 |
| 40 | SUZUKI Shinri | 60 |
| 57 | HAEDO Juan José | 73 |
| 64 | MCCARTY Jonathan Patrick | 68 |
| 68 | DUGGAN Timothy | 60 |
| 83 | HENDERSON Gregory | 75 |
| 84 | FRASER Gordon | 71 |