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 = 0.9 * weight - 53
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Mccormick
1
72.5 kgMudgway
2
65 kgVolkers
3
67 kgSchultz
6
62 kgClark
10
68 kgBatt
21
76 kgFisher-Black
22
69 kg
1
72.5 kgMudgway
2
65 kgVolkers
3
67 kgSchultz
6
62 kgClark
10
68 kgBatt
21
76 kgFisher-Black
22
69 kg
Weight (KG) →
Result →
76
62
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCCORMICK Hayden | 72.5 |
| 2 | MUDGWAY Luke | 65 |
| 3 | VOLKERS Samuel | 67 |
| 6 | SCHULTZ Elliot | 62 |
| 10 | CLARK Boris | 68 |
| 21 | BATT Ethan | 76 |
| 22 | FISHER-BLACK Finn | 69 |