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 = -1.6 * weight + 151
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHRISTENSEN Mads | 69 |
| 4 | HEGREBERG Morten | 72 |
| 5 | BRESCHEL Matti | 70 |
| 8 | RASCH Gabriel | 72 |
| 9 | VESTØL Bjørnar | 85 |
| 10 | GERRANS Simon | 62 |
| 19 | HONIG Reinier | 61 |
| 37 | WILMANN Frederik | 69 |
| 47 | KESSIAKOFF Fredrik | 61 |
| 56 | OJAVEE Mart | 80 |
| 63 | NORDHAUG Lars Petter | 63 |
| 83 | KUKK Sigvard | 74 |
| 94 | LINDGREN Emil | 59 |
| 103 | MORTENSEN Martin | 70 |
| 126 | PEDERSEN Martin | 62 |