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 = 0.8 * weight - 21
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Pidgornyy
3
72 kgPozzovivo
4
53 kgBallan
7
73 kgMori
10
62 kgSulzberger
149
67 kg
3
72 kgPozzovivo
4
53 kgBallan
7
73 kgMori
10
62 kgSulzberger
149
67 kg
Weight (KG) →
Result →
73
53
3
149
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PIDGORNYY Ruslan | 72 |
| 4 | POZZOVIVO Domenico | 53 |
| 7 | BALLAN Alessandro | 73 |
| 10 | MORI Manuele | 62 |
| 149 | SULZBERGER Bernard | 67 |