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 = -1.4 * weight + 116
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Omloop
4
78 kgStreel
12
69 kgPardini
15
68 kgTraksel
16
72 kgFlahaut
26
66 kg
4
78 kgStreel
12
69 kgPardini
15
68 kgTraksel
16
72 kgFlahaut
26
66 kg
Weight (KG) →
Result →
78
66
4
26
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | OMLOOP Geert | 78 |
| 12 | STREEL Marc | 69 |
| 15 | PARDINI Olivier | 68 |
| 16 | TRAKSEL Bobbie | 72 |
| 26 | FLAHAUT Denis | 66 |