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 = 0.7 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Hewes
1
69 kgNel
9
78 kgGoold
14
59 kgGriffiths
36
71 kgMackie
41
75 kgScott
44
72 kg
1
69 kgNel
9
78 kgGoold
14
59 kgGriffiths
36
71 kgMackie
41
75 kgScott
44
72 kg
Weight (KG) →
Result →
78
59
1
44
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HEWES Alex | 69 |
| 9 | NEL Jaco | 78 |
| 14 | GOOLD Max | 59 |
| 36 | GRIFFITHS Lenny | 71 |
| 41 | MACKIE Donovan | 75 |
| 44 | SCOTT Jack | 72 |