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 = -1.8 * weight + 145
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
Nijdam
1
75 kgKarstens
6
74 kgZanin
10
74 kgSaéz
15
74 kgMomeñe
19
61 kgTrapè
26
75 kgMarine
31
69 kgDíaz
51
63 kg
1
75 kgKarstens
6
74 kgZanin
10
74 kgSaéz
15
74 kgMomeñe
19
61 kgTrapè
26
75 kgMarine
31
69 kgDíaz
51
63 kg
Weight (KG) →
Result →
75
61
1
51
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NIJDAM Henk | 75 |
| 6 | KARSTENS Gerben | 74 |
| 10 | ZANIN Mario | 74 |
| 15 | SAÉZ Ramón | 74 |
| 19 | MOMEÑE José Antonio | 61 |
| 26 | TRAPÈ Livio | 75 |
| 31 | MARINE Jorge | 69 |
| 51 | DÍAZ Mariano | 63 |