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 = 1.4 * weight - 87
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
McNulty
1
69 kgStites
2
60 kgPowless
3
67 kgVermeulen
7
66 kgBoyle
16
77 kgSmith
25
77 kgFriedman
27
74 kg
1
69 kgStites
2
60 kgPowless
3
67 kgVermeulen
7
66 kgBoyle
16
77 kgSmith
25
77 kgFriedman
27
74 kg
Weight (KG) →
Result →
77
60
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCNULTY Brandon | 69 |
| 2 | STITES Tyler | 60 |
| 3 | POWLESS Neilson | 67 |
| 7 | VERMEULEN Alexey | 66 |
| 16 | BOYLE Evan | 77 |
| 25 | SMITH Caleb | 77 |
| 27 | FRIEDMAN Joshua | 74 |