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 = -0.2 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GREIPEL André | 80 |
| 2 | SIEBERG Marcel | 80 |
| 5 | MUSIOL Daniel | 70 |
| 6 | SHPILEVSKY Boris | 78 |
| 8 | MARTENS Paul | 69 |
| 11 | BENGSCH Robert | 85 |
| 13 | WAGNER Robert | 75 |
| 15 | SOUTHAM Tom | 69 |
| 18 | PEDERSEN Martin | 62 |
| 20 | DIETZIKER Andreas | 67 |
| 30 | CUMMINGS Steve | 73 |
| 34 | KNEES Christian | 81 |