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 + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | O'NEILL Nathan | 72 |
| 2 | GREEN Roland | 75 |
| 3 | DANIELSON Tom | 58.5 |
| 4 | WOHLBERG Eric | 63 |
| 5 | MATVEYEV Sergiy | 78 |
| 7 | GONZÁLEZ Freddy Excelino | 55 |
| 8 | FRASER Gordon | 71 |
| 9 | MCGRATH Seamus | 62 |
| 11 | BAK Lars Ytting | 76 |
| 12 | LANCASTER Brett | 78 |
| 14 | BALIANI Fortunato | 66 |