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 + 144
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
Merckx
1
74 kgLasa
5
77 kgMarine
6
69 kgSaéz
10
74 kgDíaz
19
72 kgConti
20
79 kgLasa
35
68 kgDíaz
40
63 kg
1
74 kgLasa
5
77 kgMarine
6
69 kgSaéz
10
74 kgDíaz
19
72 kgConti
20
79 kgLasa
35
68 kgDíaz
40
63 kg
Weight (KG) →
Result →
79
63
1
40
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 5 | LASA José Manuel | 77 |
| 6 | MARINE Jorge | 69 |
| 10 | SAÉZ Ramón | 74 |
| 19 | DÍAZ Ventura | 72 |
| 20 | CONTI Tino | 79 |
| 35 | LASA Miguel María | 68 |
| 40 | DÍAZ Mariano | 63 |