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 = -0.1 * weight + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Phinney
1
82 kgLeipheimer
2
62 kgJones
4
64 kgBusche
5
69 kgHegyvary
6
78 kgKing
7
68 kgPowers
13
68 kg
1
82 kgLeipheimer
2
62 kgJones
4
64 kgBusche
5
69 kgHegyvary
6
78 kgKing
7
68 kgPowers
13
68 kg
Weight (KG) →
Result →
82
62
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PHINNEY Taylor | 82 |
| 2 | LEIPHEIMER Levi | 62 |
| 4 | JONES Carter | 64 |
| 5 | BUSCHE Matthew | 69 |
| 6 | HEGYVARY Adrian | 78 |
| 7 | KING Ben | 68 |
| 13 | POWERS Jeremy | 68 |