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 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Kennett
1
75 kgGate
2
71 kgPlowright
3
80 kgStrong
4
63 kgJackson
5
75 kgQuick
7
77 kg
1
75 kgGate
2
71 kgPlowright
3
80 kgStrong
4
63 kgJackson
5
75 kgQuick
7
77 kg
Weight (KG) →
Result →
80
63
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KENNETT Dylan | 75 |
| 2 | GATE Aaron | 71 |
| 3 | PLOWRIGHT Jensen | 80 |
| 4 | STRONG Corbin | 63 |
| 5 | JACKSON George | 75 |
| 7 | QUICK Blake | 77 |