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 = -0.3 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Plapp
1
72 kgWhelan
2
64 kgDurbridge
7
78 kgHarper
9
67 kgDyball
10
63 kgMonk
12
67 kgHamilton
18
70 kgJenner
20
64 kg
1
72 kgWhelan
2
64 kgDurbridge
7
78 kgHarper
9
67 kgDyball
10
63 kgMonk
12
67 kgHamilton
18
70 kgJenner
20
64 kg
Weight (KG) →
Result →
78
63
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PLAPP Luke | 72 |
| 2 | WHELAN James | 64 |
| 7 | DURBRIDGE Luke | 78 |
| 9 | HARPER Chris | 67 |
| 10 | DYBALL Benjamin | 63 |
| 12 | MONK Cyrus | 67 |
| 18 | HAMILTON Chris | 70 |
| 20 | JENNER Samuel | 64 |