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 = -1.1 * weight + 117
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Fraser
1
71 kgStević
21
66 kgClinger
37
77 kgMcGlynn
38
64 kgStewart
44
72 kgJones
73
64 kgPeterson
82
70 kg
1
71 kgStević
21
66 kgClinger
37
77 kgMcGlynn
38
64 kgStewart
44
72 kgJones
73
64 kgPeterson
82
70 kg
Weight (KG) →
Result →
77
64
1
82
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FRASER Gordon | 71 |
| 21 | STEVIĆ Ivan | 66 |
| 37 | CLINGER David | 77 |
| 38 | MCGLYNN Patrick | 64 |
| 44 | STEWART Jackson | 72 |
| 73 | JONES Chris | 64 |
| 82 | PETERSON Tom | 70 |