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 = -1.6 * weight + 132
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
Karstens
1
74 kgZanin
4
74 kgSaéz
5
74 kgNijdam
7
75 kgTrapè
11
75 kgMomeñe
16
61 kgDíaz
32
63 kgMarine
53
69 kg
1
74 kgZanin
4
74 kgSaéz
5
74 kgNijdam
7
75 kgTrapè
11
75 kgMomeñe
16
61 kgDíaz
32
63 kgMarine
53
69 kg
Weight (KG) →
Result →
75
61
1
53
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KARSTENS Gerben | 74 |
| 4 | ZANIN Mario | 74 |
| 5 | SAÉZ Ramón | 74 |
| 7 | NIJDAM Henk | 75 |
| 11 | TRAPÈ Livio | 75 |
| 16 | MOMEÑE José Antonio | 61 |
| 32 | DÍAZ Mariano | 63 |
| 53 | MARINE Jorge | 69 |