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 = 0.4 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HERKLOTZ Silvio | 68 |
| 3 | ČERNÝ Josef | 75 |
| 4 | TENBROCK Jonas | 74 |
| 5 | POLITT Nils | 80 |
| 6 | KALOJÍROS Tomáš | 68 |
| 7 | PAWLAK Tobiasz | 81 |
| 9 | ACKERMANN Pascal | 78 |
| 11 | BANASZEK Adrian | 79 |