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 = -0.5 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRESCHEL Matti | 70 |
| 2 | GREIPEL André | 80 |
| 3 | MØRKØV Michael | 71 |
| 4 | LAGUTIN Sergey | 68 |
| 5 | DRUCKER Jempy | 75 |
| 6 | MOLARD Rudy | 62 |
| 7 | HERKLOTZ Silvio | 68 |
| 8 | TEKLEHAIMANOT Daniel | 70 |
| 9 | HARDY Romain | 62 |
| 10 | LEUKEMANS Björn | 67 |
| 11 | MILÁN Diego | 67 |
| 12 | EVRARD Laurent | 65 |
| 13 | SCHLECK Fränk | 65 |