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 = 0.7 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Thornburn
7
56 kgArmstrong
8
58 kgLe Floc'h
15
59 kgMarsal
39
53 kgTeutenberg
40
64 kg
7
56 kgArmstrong
8
58 kgLe Floc'h
15
59 kgMarsal
39
53 kgTeutenberg
40
64 kg
Weight (KG) →
Result →
64
53
7
40
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | THORNBURN Christine | 56 |
| 8 | ARMSTRONG Kristin | 58 |
| 15 | LE FLOC'H Magali | 59 |
| 39 | MARSAL Catherine | 53 |
| 40 | TEUTENBERG Ina-Yoko | 64 |