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 = -0.9 * weight + 82
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Conti
2
79 kgden Hertog
5
76 kgHarrison
9
73 kgHáva
15
62 kgWest
32
70 kgRollinson
33
66 kgJolly
34
76 kg
2
79 kgden Hertog
5
76 kgHarrison
9
73 kgHáva
15
62 kgWest
32
70 kgRollinson
33
66 kgJolly
34
76 kg
Weight (KG) →
Result →
79
62
2
34
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CONTI Tino | 79 |
| 5 | DEN HERTOG Fedor | 76 |
| 9 | HARRISON Derek | 73 |
| 15 | HÁVA Jiří | 62 |
| 32 | WEST Les | 70 |
| 33 | ROLLINSON Dave | 66 |
| 34 | JOLLY Brian | 76 |