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 + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Chapman
1
78 kgAvery
4
90 kgHenderson
8
75 kgBewley
13
81 kgRoulston
17
81 kg
1
78 kgAvery
4
90 kgHenderson
8
75 kgBewley
13
81 kgRoulston
17
81 kg
Weight (KG) →
Result →
90
75
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHAPMAN Joe | 78 |
| 4 | AVERY Clinton | 90 |
| 8 | HENDERSON Gregory | 75 |
| 13 | BEWLEY Sam | 81 |
| 17 | ROULSTON Hayden | 81 |