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 = 0.7 * weight - 39
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | VAINŠTEINS Romāns | 72 |
2 | MURN Uroš | 70 |
4 | PIIL Jakob Storm | 65 |
5 | ŠTANGELJ Gorazd | 70 |
6 | PIZIKS Arvis | 70 |
7 | SØRENSEN Rolf | 70 |
13 | JOHANSEN Allan | 78 |
14 | SANDSTØD Michael | 74 |
15 | SCHMIDT Torsten | 73 |
16 | GAUTE HØLESTØL Svein | 83 |
18 | SKIBBY Jesper | 70 |
20 | HOLM SØRENSEN Brian | 77 |
23 | KRISTENSEN Lennie | 70 |
28 | REIHS Michael | 75 |
30 | RIIS Bjarne | 71 |