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 = 0.4 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Leipheimer
1
62 kgHruška
2
62 kgLandis
5
68 kgAndrle
6
70 kgWalton
7
68 kgBarry
8
72 kgClinger
10
77 kgWohlberg
11
63 kg
1
62 kgHruška
2
62 kgLandis
5
68 kgAndrle
6
70 kgWalton
7
68 kgBarry
8
72 kgClinger
10
77 kgWohlberg
11
63 kg
Weight (KG) →
Result →
77
62
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LEIPHEIMER Levi | 62 |
| 2 | HRUŠKA Jan | 62 |
| 5 | LANDIS Floyd | 68 |
| 6 | ANDRLE René | 70 |
| 7 | WALTON Brian | 68 |
| 8 | BARRY Michael | 72 |
| 10 | CLINGER David | 77 |
| 11 | WOHLBERG Eric | 63 |