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 - 39
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Richard
1
67 kgJärmann
2
73 kgLelli
5
69 kgBortolami
7
73 kgWabel
9
72 kg
1
67 kgJärmann
2
73 kgLelli
5
69 kgBortolami
7
73 kgWabel
9
72 kg
Weight (KG) →
Result →
73
67
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RICHARD Pascal | 67 |
| 2 | JÄRMANN Rolf | 73 |
| 5 | LELLI Massimiliano | 69 |
| 7 | BORTOLAMI Gianluca | 73 |
| 9 | WABEL Beat | 72 |