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 = -0.5 * weight + 43
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Cannone
1
72 kgPollack
2
77 kgAus
3
75 kgMcGee
4
72 kgBlaudzun
5
66 kgSimon
6
70 kgAndersen
8
71 kgBouyer
10
65 kg
1
72 kgPollack
2
77 kgAus
3
75 kgMcGee
4
72 kgBlaudzun
5
66 kgSimon
6
70 kgAndersen
8
71 kgBouyer
10
65 kg
Weight (KG) →
Result →
77
65
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CANNONE Marco | 72 |
| 2 | POLLACK Olaf | 77 |
| 3 | AUS Lauri | 75 |
| 4 | MCGEE Bradley | 72 |
| 5 | BLAUDZUN Michael | 66 |
| 6 | SIMON François | 70 |
| 8 | ANDERSEN Christian | 71 |
| 10 | BOUYER Franck | 65 |