As the library_size increases, the correlation increases, which suggests a causal relationship. Intuition confirms that expenditures and investment would be driven by income. Because the cause and effect variables are numeric, there is no jaccard_index value.
CCM Example 1 Output Table (Columns 1-5)
| cause |
effect |
library_size |
correlation |
jaccard_index |
| income |
expenditure |
6 |
0.87132 |
|
| income |
expenditure |
100 |
0.97057 |
|
| income |
investment |
6 |
0.82730 |
|
| income |
investment |
100 |
0.93925 |
|
CCM Example 1 Output Table (Columns 6-9)
| lower_bound |
upper_bound |
effect_size |
effect_size_sd |
| 0.85363 |
0.88701 |
0.76356 |
0.07426 |
| 0.96215 |
0.97715 |
|
|
| 0.80477 |
0.84745 |
0.55214 |
0.06759 |
| 0.92429 |
0.95133 |
|
|