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 = 0.3 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Newton
2
69 kgDonati
8
71 kgHaddou
10
80 kgCaethoven
11
67 kgPerque
13
78 kg
2
69 kgDonati
8
71 kgHaddou
10
80 kgCaethoven
11
67 kgPerque
13
78 kg
Weight (KG) →
Result →
80
67
2
13
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | NEWTON Christopher | 69 |
| 8 | DONATI Alessandro | 71 |
| 10 | HADDOU Saïd | 80 |
| 11 | CAETHOVEN Steven | 67 |
| 13 | PERQUE Franck | 78 |