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 + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Fondriest
4
70 kgSergeant
10
76 kgTolhoek
12
63 kgMuseeuw
13
71 kgNevens
16
58 kgIlegems
20
74 kg
4
70 kgSergeant
10
76 kgTolhoek
12
63 kgMuseeuw
13
71 kgNevens
16
58 kgIlegems
20
74 kg
Weight (KG) →
Result →
76
58
4
20
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | FONDRIEST Maurizio | 70 |
| 10 | SERGEANT Marc | 76 |
| 12 | TOLHOEK Patrick | 63 |
| 13 | MUSEEUW Johan | 71 |
| 16 | NEVENS Jan | 58 |
| 20 | ILEGEMS Roger | 74 |