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 = 0.8 * weight - 40
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Kirchmann
1
59 kgStephens
3
55 kgJackson
9
63 kgKiesanowski
10
56 kgRamsden
11
62 kgBergen
14
64 kg
1
59 kgStephens
3
55 kgJackson
9
63 kgKiesanowski
10
56 kgRamsden
11
62 kgBergen
14
64 kg
Weight (KG) →
Result →
64
55
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KIRCHMANN Leah | 59 |
| 3 | STEPHENS Lauren | 55 |
| 9 | JACKSON Alison | 63 |
| 10 | KIESANOWSKI Joanne | 56 |
| 11 | RAMSDEN Denise | 62 |
| 14 | BERGEN Sara | 64 |