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 + 58
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
De Vlaeminck
1
74 kgKnudsen
2
79 kgMoser
4
79 kgGimondi
5
78 kgKuiper
9
69 kgConti
11
79 kgLasa
12
68 kgRiccomi
17
66 kg
1
74 kgKnudsen
2
79 kgMoser
4
79 kgGimondi
5
78 kgKuiper
9
69 kgConti
11
79 kgLasa
12
68 kgRiccomi
17
66 kg
Weight (KG) →
Result →
79
66
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE VLAEMINCK Roger | 74 |
| 2 | KNUDSEN Knut | 79 |
| 4 | MOSER Francesco | 79 |
| 5 | GIMONDI Felice | 78 |
| 9 | KUIPER Hennie | 69 |
| 11 | CONTI Tino | 79 |
| 12 | LASA Miguel María | 68 |
| 17 | RICCOMI Walter | 66 |