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 = 2.6 * weight - 155
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
Momeñe
7
61 kgDíaz
10
63 kgKarstens
17
74 kgMarine
26
69 kgSaéz
30
74 kgNijdam
43
75 kgZanin
52
74 kgTrapè
59
75 kg
7
61 kgDíaz
10
63 kgKarstens
17
74 kgMarine
26
69 kgSaéz
30
74 kgNijdam
43
75 kgZanin
52
74 kgTrapè
59
75 kg
Weight (KG) →
Result →
75
61
7
59
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | MOMEÑE José Antonio | 61 |
| 10 | DÍAZ Mariano | 63 |
| 17 | KARSTENS Gerben | 74 |
| 26 | MARINE Jorge | 69 |
| 30 | SAÉZ Ramón | 74 |
| 43 | NIJDAM Henk | 75 |
| 52 | ZANIN Mario | 74 |
| 59 | TRAPÈ Livio | 75 |