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 = 0.3 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Wohlberg
1
63 kgHruška
2
62 kgLeipheimer
3
62 kgWalton
5
68 kgClinger
6
77 kgAndrle
7
70 kgLandis
8
68 kg
1
63 kgHruška
2
62 kgLeipheimer
3
62 kgWalton
5
68 kgClinger
6
77 kgAndrle
7
70 kgLandis
8
68 kg
Weight (KG) →
Result →
77
62
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WOHLBERG Eric | 63 |
| 2 | HRUŠKA Jan | 62 |
| 3 | LEIPHEIMER Levi | 62 |
| 5 | WALTON Brian | 68 |
| 6 | CLINGER David | 77 |
| 7 | ANDRLE René | 70 |
| 8 | LANDIS Floyd | 68 |