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 = -0.1 * weight + 9
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Eefting-Bloem
1
75 kgBenfatto
2
71 kgSaleh
3
70 kgReguigui
4
69 kgGuardini
5
66 kgGibson
6
76 kg
1
75 kgBenfatto
2
71 kgSaleh
3
70 kgReguigui
4
69 kgGuardini
5
66 kgGibson
6
76 kg
Weight (KG) →
Result →
76
66
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EEFTING-BLOEM Roy | 75 |
| 2 | BENFATTO Marco | 71 |
| 3 | SALEH Mohd Harrif | 70 |
| 4 | REGUIGUI Youcef | 69 |
| 5 | GUARDINI Andrea | 66 |
| 6 | GIBSON Matthew | 76 |