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 = 2.6 * weight - 120
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
Thornburn
1
56 kgArmstrong
5
58 kgHobson
23
55 kgNash
40
51 kgTeutenberg
70
64 kg
1
56 kgArmstrong
5
58 kgHobson
23
55 kgNash
40
51 kgTeutenberg
70
64 kg
Weight (KG) →
Result →
64
51
1
70
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | THORNBURN Christine | 56 |
| 5 | ARMSTRONG Kristin | 58 |
| 23 | HOBSON Leigh | 55 |
| 40 | NASH Kateřina | 51 |
| 70 | TEUTENBERG Ina-Yoko | 64 |