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 = -1.3 * weight + 102
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
Newbery
1
75 kgGibson
4
76 kgStannard
6
74 kgKerby
7
71 kgMccormick
10
72.5 kgVink
13
73 kgThièry
15
67 kg
1
75 kgGibson
4
76 kgStannard
6
74 kgKerby
7
71 kgMccormick
10
72.5 kgVink
13
73 kgThièry
15
67 kg
Weight (KG) →
Result →
76
67
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NEWBERY Dylan | 75 |
| 4 | GIBSON Matthew | 76 |
| 6 | STANNARD Robert | 74 |
| 7 | KERBY Jordan | 71 |
| 10 | MCCORMICK Hayden | 72.5 |
| 13 | VINK Michael | 73 |
| 15 | THIÈRY Cyrille | 67 |