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 = -0.2 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Gamper
1
80 kgRitzinger
2
80 kgVermeulen
3
67 kgBayer
4
71 kgKonczer
8
63 kgJennewein
10
72 kgBosch
11
76 kg
1
80 kgRitzinger
2
80 kgVermeulen
3
67 kgBayer
4
71 kgKonczer
8
63 kgJennewein
10
72 kgBosch
11
76 kg
Weight (KG) →
Result →
80
63
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GAMPER Patrick | 80 |
| 2 | RITZINGER Felix | 80 |
| 3 | VERMEULEN Moran | 67 |
| 4 | BAYER Tobias | 71 |
| 8 | KONCZER Michael | 63 |
| 10 | JENNEWEIN Sandro | 72 |
| 11 | BOSCH Manuel | 76 |