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 = 0.9 * weight - 58
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CUMMINGS Steve | 73 |
| 2 | DOWSETT Alex | 75 |
| 3 | GULLEN James | 65 |
| 4 | GEOGHEGAN HART Tao | 65 |
| 5 | TANFIELD Harry | 79.5 |
| 10 | DIBBEN Jonathan | 78 |
| 14 | ARCHIBALD John | 79 |
| 26 | MORLEY Ryan | 82 |
| 27 | BRAND Sam | 76 |