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 + 104
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
Horner
2
70 kgZabriskie
5
67 kgPate
8
73 kgFrischkorn
12
68 kgMcCarty
31
68 kg
2
70 kgZabriskie
5
67 kgPate
8
73 kgFrischkorn
12
68 kgMcCarty
31
68 kg
Weight (KG) →
Result →
73
67
2
31
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HORNER Chris | 70 |
| 5 | ZABRISKIE David | 67 |
| 8 | PATE Danny | 73 |
| 12 | FRISCHKORN William | 68 |
| 31 | MCCARTY Jonathan Patrick | 68 |