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 * weight + 11
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KITTEL Marcel | 82 |
| 2 | RUFFONI Nicola | 70 |
| 3 | CAVENDISH Mark | 70 |
| 4 | FARRAR Tyler | 73 |
| 5 | SWIFT Ben | 69 |
| 6 | MARKUS Barry | 75 |
| 7 | COLBRELLI Sonny | 74 |
| 8 | MCLAY Daniel | 72 |
| 9 | HAUSSLER Heinrich | 74 |
| 10 | TRUSOV Nikolay | 77 |
| 11 | SANZ Enrique | 67 |
| 13 | PETERS Alex | 67 |
| 14 | BENNETT Sam | 73 |
| 15 | LANDER Sebastian | 70 |
| 17 | ZABEL Rick | 81 |