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 - 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAGAN Peter | 78 |
| 2 | BAUHAUS Phil | 75 |
| 3 | CORT Magnus | 68 |
| 4 | GROENEWEGEN Dylan | 70 |
| 5 | VAN POPPEL Boy | 78 |
| 6 | ZABEL Rick | 81 |
| 7 | WIPPERT Wouter | 75 |
| 8 | RICKAERT Jonas | 88 |
| 9 | GREIPEL André | 80 |
| 10 | PLANCKAERT Edward | 71 |