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 = 0.4 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Hinault
6
62 kgNevens
8
58 kgRichard
11
67 kgBernaudeau
14
64 kgGianetti
15
62 kg
6
62 kgNevens
8
58 kgRichard
11
67 kgBernaudeau
14
64 kgGianetti
15
62 kg
Weight (KG) →
Result →
67
58
6
15
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | HINAULT Bernard | 62 |
| 8 | NEVENS Jan | 58 |
| 11 | RICHARD Pascal | 67 |
| 14 | BERNAUDEAU Jean-René | 64 |
| 15 | GIANETTI Mauro | 62 |