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 = -3.1 * weight + 274
This means that on average for every extra kilogram weight a rider loses -3.1 positions in the result.
Weissinger
38
74 kgDrancourt
58
68 kgPriamo
59
72 kgGerdemann
70
71 kg
38
74 kgDrancourt
58
68 kgPriamo
59
72 kgGerdemann
70
71 kg
Weight (KG) →
Result →
74
68
38
70
| # | Rider | Weight (KG) |
|---|---|---|
| 38 | WEISSINGER René | 74 |
| 58 | DRANCOURT Pierre | 68 |
| 59 | PRIAMO Matteo | 72 |
| 70 | GERDEMANN Linus | 71 |