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 = -0.6 * weight + 51
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Merckx
1
74 kgZoetemelk
3
68 kgPoulidor
9
71 kgLloyd
14
76 kgOvion
17
64 kgPijnen
18
72 kgBayton
19
61 kg
1
74 kgZoetemelk
3
68 kgPoulidor
9
71 kgLloyd
14
76 kgOvion
17
64 kgPijnen
18
72 kgBayton
19
61 kg
Weight (KG) →
Result →
76
61
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 3 | ZOETEMELK Joop | 68 |
| 9 | POULIDOR Raymond | 71 |
| 14 | LLOYD Dave | 76 |
| 17 | OVION Régis | 64 |
| 18 | PIJNEN René | 72 |
| 19 | BAYTON Phil | 61 |