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 = 0.3 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Andersen
1
71 kgSweet
2
69 kgMitchell
3
70 kgHayles
11
80 kgEspiritu
14
56 kgGrabsch
24
81 kg
1
71 kgSweet
2
69 kgMitchell
3
70 kgHayles
11
80 kgEspiritu
14
56 kgGrabsch
24
81 kg
Weight (KG) →
Result →
81
56
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANDERSEN Christian | 71 |
| 2 | SWEET Jay | 69 |
| 3 | MITCHELL Glen | 70 |
| 11 | HAYLES Robert | 80 |
| 14 | ESPIRITU Victor | 56 |
| 24 | GRABSCH Ralf | 81 |