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 = 0.9 * weight - 33
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Drancourt
7
68 kgWeissinger
8
74 kgSchleck
22
65 kgPriamo
25
72 kgGerdemann
87
71 kg
7
68 kgWeissinger
8
74 kgSchleck
22
65 kgPriamo
25
72 kgGerdemann
87
71 kg
Weight (KG) →
Result →
74
65
7
87
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | DRANCOURT Pierre | 68 |
| 8 | WEISSINGER René | 74 |
| 22 | SCHLECK Fränk | 65 |
| 25 | PRIAMO Matteo | 72 |
| 87 | GERDEMANN Linus | 71 |