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 = 0.7 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | HENDERSON Gregory | 75 |
| 14 | KILLEEN Liam | 65 |
| 16 | HORNER Chris | 70 |
| 18 | FRATTINI Davide | 63 |
| 21 | WOHLBERG Eric | 63 |
| 25 | VAN DEN BROECK Jurgen | 69 |
| 29 | MITCHELL Glen | 70 |
| 30 | ABE Yoshiyuki | 67 |
| 31 | FRISCHKORN William | 68 |
| 32 | LEWIS Craig | 65 |
| 48 | PATE Danny | 73 |
| 49 | DUGGAN Timothy | 60 |
| 56 | HAEDO Juan José | 73 |
| 88 | FRASER Gordon | 71 |