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 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Sergeant
4
76 kgBugno
7
68 kgFondriest
10
70 kgNevens
13
58 kgDe Wolf
15
75 kgIlegems
17
74 kgMuseeuw
20
71 kg
4
76 kgBugno
7
68 kgFondriest
10
70 kgNevens
13
58 kgDe Wolf
15
75 kgIlegems
17
74 kgMuseeuw
20
71 kg
Weight (KG) →
Result →
76
58
4
20
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | SERGEANT Marc | 76 |
| 7 | BUGNO Gianni | 68 |
| 10 | FONDRIEST Maurizio | 70 |
| 13 | NEVENS Jan | 58 |
| 15 | DE WOLF Fons | 75 |
| 17 | ILEGEMS Roger | 74 |
| 20 | MUSEEUW Johan | 71 |