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 = 1.6 * weight - 90
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Niermann
2
64 kgWadecki
7
70 kgSuzuki
9
60 kgWhite
13
72 kgMcGrory
21
73 kgDa Cruz
25
74 kgSweet
28
69 kgGates
56
71 kg
2
64 kgWadecki
7
70 kgSuzuki
9
60 kgWhite
13
72 kgMcGrory
21
73 kgDa Cruz
25
74 kgSweet
28
69 kgGates
56
71 kg
Weight (KG) →
Result →
74
60
2
56
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | NIERMANN Grischa | 64 |
| 7 | WADECKI Piotr | 70 |
| 9 | SUZUKI Shinri | 60 |
| 13 | WHITE Matthew | 72 |
| 21 | MCGRORY Scott | 73 |
| 25 | DA CRUZ Carlos | 74 |
| 28 | SWEET Jay | 69 |
| 56 | GATES Nick | 71 |