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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Raas
3
72 kgDemeyer
4
85 kgHoste
6
76 kgKelly
7
77 kgGodefroot
8
73 kgPriem
11
75 kg
3
72 kgDemeyer
4
85 kgHoste
6
76 kgKelly
7
77 kgGodefroot
8
73 kgPriem
11
75 kg
Weight (KG) →
Result →
85
72
3
11
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | RAAS Jan | 72 |
| 4 | DEMEYER Marc | 85 |
| 6 | HOSTE Frank | 76 |
| 7 | KELLY Sean | 77 |
| 8 | GODEFROOT Walter | 73 |
| 11 | PRIEM Cees | 75 |