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 + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KITTEL Marcel | 82 |
| 2 | HUTAROVICH Yauheni | 71 |
| 3 | VAN STAEYEN Michael | 62 |
| 4 | NIZZOLO Giacomo | 72 |
| 5 | PORSEV Alexander | 80 |
| 6 | PICHON Laurent | 69 |
| 7 | VOECKLER Thomas | 71 |
| 8 | CAETHOVEN Steven | 67 |
| 9 | DUQUE Leonardo Fabio | 59 |
| 10 | PETIT Adrien | 80 |