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 * weight + 8
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Lefevre
2
66 kgLangella
5
76 kgClinger
8
77 kgFujino
10
63 kgAbe
11
67 kgO'Neill
18
72 kg
2
66 kgLangella
5
76 kgClinger
8
77 kgFujino
10
63 kgAbe
11
67 kgO'Neill
18
72 kg
Weight (KG) →
Result →
77
63
2
18
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LEFEVRE David | 66 |
| 5 | LANGELLA Anthony | 76 |
| 8 | CLINGER David | 77 |
| 10 | FUJINO Tomokazu | 63 |
| 11 | ABE Yoshiyuki | 67 |
| 18 | O'NEILL Nathan | 72 |