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 = -1.8 * weight + 115
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
Thornburn
1
56 kgArmstrong
2
58 kgTeutenberg
8
64 kgNash
28
51 kgHobson
32
55 kg
1
56 kgArmstrong
2
58 kgTeutenberg
8
64 kgNash
28
51 kgHobson
32
55 kg
Weight (KG) →
Result →
64
51
1
32
# | Rider | Weight (KG) |
---|---|---|
1 | THORNBURN Christine | 56 |
2 | ARMSTRONG Kristin | 58 |
8 | TEUTENBERG Ina-Yoko | 64 |
28 | NASH Kateřina | 51 |
32 | HOBSON Leigh | 55 |