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 = 1.1 * weight - 49
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Martin
17
62 kgPoulidor
18
71 kgHinault
22
62 kgOvion
23
64 kgBourreau
27
63 kgGodefroot
43
73 kg
17
62 kgPoulidor
18
71 kgHinault
22
62 kgOvion
23
64 kgBourreau
27
63 kgGodefroot
43
73 kg
Weight (KG) →
Result →
73
62
17
43
| # | Rider | Weight (KG) |
|---|---|---|
| 17 | MARTIN Raymond | 62 |
| 18 | POULIDOR Raymond | 71 |
| 22 | HINAULT Bernard | 62 |
| 23 | OVION Régis | 64 |
| 27 | BOURREAU Bernard | 63 |
| 43 | GODEFROOT Walter | 73 |