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 + 33
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAVENDISH Mark | 70 |
| 2 | STANNARD Ian | 83 |
| 3 | MILLAR David | 79 |
| 4 | KENNAUGH Peter | 66 |
| 5 | ROWE Luke | 72 |
| 7 | THWAITES Scott | 71 |
| 8 | YATES Simon | 58 |
| 12 | DOWNING Russell | 64 |
| 13 | STEWART Thomas | 71 |
| 16 | MCNALLY Mark | 72 |
| 17 | DOULL Owain | 71 |
| 22 | HARPER George | 67 |