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 = 0.6 * weight - 23
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JOHANSEN Allan | 78 |
| 3 | SCHMIDT Torsten | 73 |
| 4 | RITTSEL Martin | 70 |
| 6 | SANDSTØD Michael | 74 |
| 7 | SØRENSEN Rolf | 70 |
| 8 | PIZIKS Arvis | 70 |
| 12 | MICHAELSEN Lars | 79 |
| 15 | MEINERT-NIELSEN Peter | 73 |
| 26 | TESSIER Jean-Michel | 70 |
| 29 | BAK Lars Ytting | 76 |
| 31 | VESTØL Bjørnar | 85 |
| 33 | SØRENSEN Nicki | 71 |
| 35 | SKIBBY Jesper | 70 |
| 49 | SCIANDRI Maximilian | 75 |
| 57 | REIHS Michael | 75 |