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 = -0.2 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Pedersen
1
62 kgPriamo
3
72 kgEfimkin
4
70 kgSalerno
6
64 kgCaccia
7
70 kgLund
8
65 kgBates
10
61 kg
1
62 kgPriamo
3
72 kgEfimkin
4
70 kgSalerno
6
64 kgCaccia
7
70 kgLund
8
65 kgBates
10
61 kg
Weight (KG) →
Result →
72
61
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PEDERSEN Martin | 62 |
| 3 | PRIAMO Matteo | 72 |
| 4 | EFIMKIN Alexander | 70 |
| 6 | SALERNO Cristiano | 64 |
| 7 | CACCIA Diego | 70 |
| 8 | LUND Anders | 65 |
| 10 | BATES Gene | 61 |