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 = -0.3 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NEWTON Christopher | 69 |
| 2 | IGLINSKIY Maxim | 67 |
| 10 | TANNER John | 70 |
| 11 | MCLEOD Ian | 66 |
| 13 | MANNING Paul | 76 |
| 17 | ELLIOTT Malcolm | 76 |
| 18 | BAZAYEV Assan | 62 |
| 21 | ESTADIEU Laurent | 67 |
| 23 | LÖFKVIST Thomas | 70 |
| 27 | CUMMINGS Steve | 73 |
| 31 | LJUNGBLAD Jonas | 70 |
| 56 | POWER Ciarán | 68 |
| 57 | O'LOUGHLIN David | 68 |