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 | MÜLLER Martin | 79 |
| 2 | MORTENSEN Martin | 70 |
| 4 | VOIGT Jens | 76 |
| 5 | STUBBE Tom | 66 |
| 9 | RIBLON Christophe | 65 |
| 12 | BASSO Ivan | 70 |
| 14 | REIHS Michael | 75 |
| 15 | BENGSCH Robert | 85 |
| 17 | BAK Lars Ytting | 76 |
| 19 | ARVESEN Kurt-Asle | 74 |
| 20 | FUGLSANG Jakob | 67 |
| 21 | PIIL Jakob Storm | 65 |
| 23 | FLICKINGER Andy | 78 |