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.
Duclos-Lassalle
1
73 kgHinault
7
62 kgBittinger
10
69 kgBernaudeau
13
64 kg
1
73 kgHinault
7
62 kgBittinger
10
69 kgBernaudeau
13
64 kg
Weight (KG) →
Result →
73
62
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DUCLOS-LASSALLE Gilbert | 73 |
| 7 | HINAULT Bernard | 62 |
| 10 | BITTINGER René | 69 |
| 13 | BERNAUDEAU Jean-René | 64 |