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 * weight + 79
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
Duclos-Lassalle
2
73 kgMadiot
11
68 kgBourreau
12
63 kgBernaudeau
13
64 kg
2
73 kgMadiot
11
68 kgBourreau
12
63 kgBernaudeau
13
64 kg
Weight (KG) →
Result →
73
63
2
13
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DUCLOS-LASSALLE Gilbert | 73 |
| 11 | MADIOT Marc | 68 |
| 12 | BOURREAU Bernard | 63 |
| 13 | BERNAUDEAU Jean-René | 64 |