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 + 7
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAGAN Peter | 78 |
| 3 | HOFLAND Moreno | 71 |
| 4 | ANDERSON Ryan | 66 |
| 5 | MEZGEC Luka | 72 |
| 6 | GESCHKE Simon | 64 |
| 7 | CLARKE Will | 81 |
| 8 | BOOKWALTER Brent | 70 |
| 9 | WEGMANN Fabian | 60 |
| 10 | POWERS Jeremy | 68 |
| 11 | FRIEDEMANN Matthias | 75 |
| 12 | GOOS Marc | 65 |
| 13 | LUDVIGSSON Tobias | 76 |
| 14 | MURPHY John | 81 |
| 15 | GRETSCH Patrick | 69 |