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 + 50
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Zabriskie
1
67 kgZirbel
2
91 kgFriedman
6
82 kgGaimon
18
67 kgReijnen
19
63 kgLandis
21
68 kg
1
67 kgZirbel
2
91 kgFriedman
6
82 kgGaimon
18
67 kgReijnen
19
63 kgLandis
21
68 kg
Weight (KG) →
Result →
91
63
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZABRISKIE David | 67 |
| 2 | ZIRBEL Tom | 91 |
| 6 | FRIEDMAN Michael | 82 |
| 18 | GAIMON Phillip | 67 |
| 19 | REIJNEN Kiel | 63 |
| 21 | LANDIS Floyd | 68 |