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 = 0.2 * weight + 35
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Weissinger
18
74 kgSchleck
32
65 kgDrancourt
57
68 kgPriamo
66
72 kgGerdemann
81
71 kg
18
74 kgSchleck
32
65 kgDrancourt
57
68 kgPriamo
66
72 kgGerdemann
81
71 kg
Weight (KG) →
Result →
74
65
18
81
| # | Rider | Weight (KG) |
|---|---|---|
| 18 | WEISSINGER René | 74 |
| 32 | SCHLECK Fränk | 65 |
| 57 | DRANCOURT Pierre | 68 |
| 66 | PRIAMO Matteo | 72 |
| 81 | GERDEMANN Linus | 71 |