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 - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Steels
1
73 kgGardeyn
2
75 kgKopp
4
68 kgVanlandschoot
5
67 kgGlomser
6
67 kgWeissinger
7
74 kgMori
9
77 kg
1
73 kgGardeyn
2
75 kgKopp
4
68 kgVanlandschoot
5
67 kgGlomser
6
67 kgWeissinger
7
74 kgMori
9
77 kg
Weight (KG) →
Result →
77
67
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEELS Tom | 73 |
| 2 | GARDEYN Gorik | 75 |
| 4 | KOPP David | 68 |
| 5 | VANLANDSCHOOT James | 67 |
| 6 | GLOMSER Gerrit | 67 |
| 7 | WEISSINGER René | 74 |
| 9 | MORI Massimiliano | 77 |