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 = 0.5 * weight - 34
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Skibby
1
70 kgSørensen
2
70 kgFignon
6
67 kgLilholt
8
72 kgHolm Sørensen
9
77 kg
1
70 kgSørensen
2
70 kgFignon
6
67 kgLilholt
8
72 kgHolm Sørensen
9
77 kg
Weight (KG) →
Result →
77
67
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SKIBBY Jesper | 70 |
| 2 | SØRENSEN Rolf | 70 |
| 6 | FIGNON Laurent | 67 |
| 8 | LILHOLT Søren | 72 |
| 9 | HOLM SØRENSEN Brian | 77 |