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 * weight + 36
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Bourreau
15
63 kgOvion
19
64 kgPoulidor
36
71 kgGodefroot
38
73 kgMartin
49
62 kgHinault
51
62 kg
15
63 kgOvion
19
64 kgPoulidor
36
71 kgGodefroot
38
73 kgMartin
49
62 kgHinault
51
62 kg
Weight (KG) →
Result →
73
62
15
51
| # | Rider | Weight (KG) |
|---|---|---|
| 15 | BOURREAU Bernard | 63 |
| 19 | OVION Régis | 64 |
| 36 | POULIDOR Raymond | 71 |
| 38 | GODEFROOT Walter | 73 |
| 49 | MARTIN Raymond | 62 |
| 51 | HINAULT Bernard | 62 |