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 = -1.2 * weight + 97
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
De Vlaeminck
1
74 kgDe Wolf
6
75 kgKelly
7
77 kgKuiper
17
69 kgNevens
24
58 kgZoetemelk
25
68 kg
1
74 kgDe Wolf
6
75 kgKelly
7
77 kgKuiper
17
69 kgNevens
24
58 kgZoetemelk
25
68 kg
Weight (KG) →
Result →
77
58
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE VLAEMINCK Roger | 74 |
| 6 | DE WOLF Fons | 75 |
| 7 | KELLY Sean | 77 |
| 17 | KUIPER Hennie | 69 |
| 24 | NEVENS Jan | 58 |
| 25 | ZOETEMELK Joop | 68 |