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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Hinault
1
62 kgKuiper
2
69 kgDidier
9
67 kgThaler
11
60 kgLeMond
13
67 kg
1
62 kgKuiper
2
69 kgDidier
9
67 kgThaler
11
60 kgLeMond
13
67 kg
Weight (KG) →
Result →
69
60
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HINAULT Bernard | 62 |
| 2 | KUIPER Hennie | 69 |
| 9 | DIDIER Lucien | 67 |
| 11 | THALER Klaus-Peter | 60 |
| 13 | LEMOND Greg | 67 |