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 = -4 * weight + 314
This means that on average for every extra kilogram weight a rider loses -4 positions in the result.
Zamana
7
74 kgGlasner
9
72 kgSweet
22
69 kgMcGrory
26
73 kgWhite
29
72 kgGates
59
71 kg
7
74 kgGlasner
9
72 kgSweet
22
69 kgMcGrory
26
73 kgWhite
29
72 kgGates
59
71 kg
Weight (KG) →
Result →
74
69
7
59
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | ZAMANA Cezary | 74 |
| 9 | GLASNER Björn | 72 |
| 22 | SWEET Jay | 69 |
| 26 | MCGRORY Scott | 73 |
| 29 | WHITE Matthew | 72 |
| 59 | GATES Nick | 71 |