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 - 24
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GROSU Eduard-Michael | 68 |
| 2 | LIEPIŅŠ Emīls | 67 |
| 3 | RÄIM Mihkel | 69 |
| 5 | BANASZEK Adrian | 79 |
| 6 | MANNINEN Matti | 70 |
| 7 | AKHRAMENKA Yauheni | 78 |
| 9 | MAGNUSSON Kim | 71 |
| 10 | NISU Oskar | 84 |
| 12 | GONZÁLEZ Mario | 65 |
| 13 | LAAS Martin | 76 |
| 14 | ŠIŠKEVIČIUS Paulius | 70 |
| 21 | AHIYEVICH Aleh | 70 |
| 23 | SHEMETAU Mikhail | 79 |
| 24 | BARAVIK Valiantsin | 80 |