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 = 2 * weight - 118
This means that on average for every extra kilogram weight a rider loses 2 positions in the result.
Holmes
1
64 kgSmith
3
58 kgHeath
4
63 kgGoold
7
59 kgMcrobbie
14
66 kgRichert
18
69 kgHewes
21
69 kgWhite
35
71 kg
1
64 kgSmith
3
58 kgHeath
4
63 kgGoold
7
59 kgMcrobbie
14
66 kgRichert
18
69 kgHewes
21
69 kgWhite
35
71 kg
Weight (KG) →
Result →
71
58
1
35
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOLMES Wil | 64 |
| 3 | SMITH Jeremy | 58 |
| 4 | HEATH Will | 63 |
| 7 | GOOLD Max | 59 |
| 14 | MCROBBIE Finlay | 66 |
| 18 | RICHERT Luke | 69 |
| 21 | HEWES Alex | 69 |
| 35 | WHITE Alex | 71 |