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 + 29
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SILIN Egor | 61 |
| 4 | THURAU Björn | 73 |
| 5 | KRIZEK Matthias | 74 |
| 8 | VANENDERT Dennis | 64 |
| 14 | BRÄNDLE Matthias | 80 |
| 15 | SCHORN Daniel | 72 |
| 27 | HESSELBARTH David | 65 |
| 32 | MATZKA Ralf | 69 |
| 35 | DEGENKOLB John | 82 |
| 36 | VAN STAEYEN Michael | 62 |
| 37 | PLANCKAERT Baptiste | 65 |
| 38 | KITTEL Marcel | 82 |
| 45 | SELANDER Bjorn | 72 |
| 50 | MAHĎAR Martin | 61 |