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 = 0.6 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BAZAYEV Assan | 62 |
| 3 | POWER Ciarán | 68 |
| 8 | MANNING Paul | 76 |
| 9 | IGLINSKIY Maxim | 67 |
| 10 | NEWTON Christopher | 69 |
| 16 | ELLIOTT Malcolm | 76 |
| 17 | MCLEOD Ian | 66 |
| 19 | O'LOUGHLIN David | 68 |
| 26 | TANNER John | 70 |
| 27 | LJUNGBLAD Jonas | 70 |
| 30 | LÖFKVIST Thomas | 70 |