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 = 0.8 * weight - 46
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | THOMAS Geraint | 71 |
| 2 | TANFIELD Harry | 79.5 |
| 3 | DOWSETT Alex | 75 |
| 4 | ARCHIBALD John | 79 |
| 5 | GULLEN James | 65 |
| 6 | GEOGHEGAN HART Tao | 65 |
| 7 | DIBBEN Jonathan | 78 |
| 8 | BIGHAM Daniel | 75 |
| 10 | SWIFT Connor | 75 |
| 25 | TIPPER Jacob | 78 |
| 27 | MORLEY Ryan | 82 |
| 33 | BRAND Sam | 76 |