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 = -0.1 * weight + 42
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Poulidor
12
71 kgMartin
15
62 kgBourreau
25
63 kgOvion
46
64 kgGodefroot
49
73 kgHinault
56
62 kg
12
71 kgMartin
15
62 kgBourreau
25
63 kgOvion
46
64 kgGodefroot
49
73 kgHinault
56
62 kg
Weight (KG) →
Result →
73
62
12
56
| # | Rider | Weight (KG) |
|---|---|---|
| 12 | POULIDOR Raymond | 71 |
| 15 | MARTIN Raymond | 62 |
| 25 | BOURREAU Bernard | 63 |
| 46 | OVION Régis | 64 |
| 49 | GODEFROOT Walter | 73 |
| 56 | HINAULT Bernard | 62 |