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 + 31
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Kozontchuk
2
75 kgLisabeth
4
75 kgShpilevsky
5
78 kgCaethoven
6
67 kgBarbé
8
75 kgWeylandt
9
72 kgPauwels
10
65 kg
2
75 kgLisabeth
4
75 kgShpilevsky
5
78 kgCaethoven
6
67 kgBarbé
8
75 kgWeylandt
9
72 kgPauwels
10
65 kg
Weight (KG) →
Result →
78
65
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KOZONTCHUK Dmitry | 75 |
| 4 | LISABETH Kenny | 75 |
| 5 | SHPILEVSKY Boris | 78 |
| 6 | CAETHOVEN Steven | 67 |
| 8 | BARBÉ Koen | 75 |
| 9 | WEYLANDT Wouter | 72 |
| 10 | PAUWELS Serge | 65 |