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 = 0.1 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Celano
1
65 kgMcCabe
4
72 kgSkujiņš
5
70 kgMurphy
7
81 kgJones
8
64 kgPate
10
73 kgDal-Cin
11
77 kgMancebo
12
64 kg
1
65 kgMcCabe
4
72 kgSkujiņš
5
70 kgMurphy
7
81 kgJones
8
64 kgPate
10
73 kgDal-Cin
11
77 kgMancebo
12
64 kg
Weight (KG) →
Result →
81
64
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CELANO Danilo | 65 |
| 4 | MCCABE Travis | 72 |
| 5 | SKUJIŅŠ Toms | 70 |
| 7 | MURPHY John | 81 |
| 8 | JONES Chris | 64 |
| 10 | PATE Danny | 73 |
| 11 | DAL-CIN Matteo | 77 |
| 12 | MANCEBO Francisco | 64 |