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 = 2.3 * weight - 127
This means that on average for every extra kilogram weight a rider loses 2.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HORNER Chris | 70 |
| 5 | VAN DEN BROECK Jurgen | 69 |
| 6 | KILLEEN Liam | 65 |
| 7 | MITCHELL Glen | 70 |
| 9 | FRATTINI Davide | 63 |
| 16 | FRISCHKORN William | 68 |
| 18 | WOHLBERG Eric | 63 |
| 20 | LEWIS Craig | 65 |
| 29 | ABE Yoshiyuki | 67 |
| 37 | PATE Danny | 73 |
| 42 | DUGGAN Timothy | 60 |
| 54 | HAEDO Juan José | 73 |
| 58 | HENDERSON Gregory | 75 |
| 88 | FRASER Gordon | 71 |