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 = -0.2 * weight + 46
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | VANENDERT Dennis | 64 |
| 7 | KRIZEK Matthias | 74 |
| 13 | VAN STAEYEN Michael | 62 |
| 14 | HESSELBARTH David | 65 |
| 15 | SILIN Egor | 61 |
| 16 | THURAU Björn | 73 |
| 18 | DEGENKOLB John | 82 |
| 20 | SUMMERHILL Daniel | 70 |
| 21 | SCHORN Daniel | 72 |
| 23 | SELANDER Bjorn | 72 |
| 42 | KITTEL Marcel | 82 |
| 44 | MATZKA Ralf | 69 |
| 50 | BRÄNDLE Matthias | 80 |
| 59 | MAHĎAR Martin | 61 |
| 64 | TSATEVICH Alexey | 64 |
| 76 | PLANCKAERT Baptiste | 65 |