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 * weight + 79
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
Meyer
2
70 kgHoward
3
72 kgBobridge
5
65 kgGuy
9
67 kgMeyer
10
68 kgRudolph
12
69 kgEarle
17
70 kgRoe
23
66 kg
2
70 kgHoward
3
72 kgBobridge
5
65 kgGuy
9
67 kgMeyer
10
68 kgRudolph
12
69 kgEarle
17
70 kgRoe
23
66 kg
Weight (KG) →
Result →
72
65
2
23
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MEYER Cameron | 70 |
| 3 | HOWARD Leigh | 72 |
| 5 | BOBRIDGE Jack | 65 |
| 9 | GUY Timothy | 67 |
| 10 | MEYER Travis | 68 |
| 12 | RUDOLPH Malcolm | 69 |
| 17 | EARLE Nathan | 70 |
| 23 | ROE Timothy | 66 |