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 = 3.6 * weight + 566
This means that on average for every extra kilogram weight a rider loses 3.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZABEL Erik | 69 |
| 3 | VOGELS Henk | 75 |
| 990 | KLÖDEN Andreas | 63 |
| 990 | O'GRADY Stuart | 73 |
| 990 | LOMBARDI Giovanni | 73 |
| 990 | TOSATTO Matteo | 74 |
| 990 | DIETZ Bert | 69 |
| 990 | PRETOT Arnaud | 71 |
| 990 | MORI Massimiliano | 77 |
| 990 | KNAVEN Servais | 68 |
| 990 | VESTØL Bjørnar | 85 |
| 990 | SCHAFFRATH Jan | 74 |