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 = 0.7 * weight - 47
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Aerts
1
70 kgDeloor
2
72 kgRonsse
3
77 kgWauters
4
72 kgMoerenhout
8
72 kgRebry
14
75 kg
1
70 kgDeloor
2
72 kgRonsse
3
77 kgWauters
4
72 kgMoerenhout
8
72 kgRebry
14
75 kg
Weight (KG) →
Result →
77
70
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AERTS Jean | 70 |
| 2 | DELOOR Alfons | 72 |
| 3 | RONSSE Georges | 77 |
| 4 | WAUTERS Jean | 72 |
| 8 | MOERENHOUT Jef | 72 |
| 14 | REBRY Gaston | 75 |