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 = 0.6 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | O'NEILL Nathan | 72 |
| 2 | DANIELSON Tom | 58.5 |
| 3 | HORNER Chris | 70 |
| 4 | ZABRISKIE David | 67 |
| 6 | VAUGHTERS Jonathan | 64 |
| 9 | WOHLBERG Eric | 63 |
| 10 | MITCHELL Glen | 70 |
| 13 | BARRY Michael | 72 |
| 15 | FRASER Gordon | 71 |
| 20 | HENDERSON Gregory | 75 |
| 23 | TUFT Svein | 77 |
| 27 | CLINGER David | 77 |
| 44 | MCRAE William Chann | 62 |
| 45 | STEWART Jackson | 72 |
| 51 | PINEDA Oscar | 59 |
| 69 | CHAPMAN Joe | 78 |