Table 5.
Multiple regression model that predicts NPI canonical variate (CV). The interaction term between Brain CV and education is mainly tested while including the covariates of no interest.
| Mode 1 (DV: NPI CV1) |
Mode 2 (DV: NPI CV2) |
||||||||
|---|---|---|---|---|---|---|---|---|---|
| Beta | SE | t | p-value | Beta | SE | T | p-value | ||
| Age | −0.01 | 0.00 | −2.10 | 0.036 | Age | 0.00 | 0.00 | −0.05 | 0.964 |
| Sex | −0.11 | 0.06 | −1.68 | 0.093 | Sex | −0.06 | 0.08 | −0.79 | 0.428 |
| Informant Reliability | 0.18 | 0.12 | 1.50 | 0.133 | Informant Reliability | −0.07 | 0.14 | −0.49 | 0.626 |
| Total Intracranial Volume | 0.00 | 0.00 | 1.09 | 0.274 | Total Intracranial Volume | 0.00 | 0.00 | 0.79 | 0.427 |
| CDR | 1.75 | 0.12 | 14.40 | <2 × 10−16 | CDR | 0.17 | 0.14 | 1.19 | 0.234 |
| MMSE | 0.05 | 0.01 | 3.18 | 0.002 | MMSE | −0.03 | 0.02 | −1.68 | 0.094 |
| Brain CV1 | 0.40 | 0.15 | 2.77 | 0.006 | Brain CV2 | 0.64 | 0.18 | 3.55 | <0.001 |
| Education | −0.03 | 0.01 | −3.27 | 0.001 | Education | 0.01 | 0.01 | 0.85 | 0.397 |
| Brain CV1 × Education | −0.02 | 0.01 | −2.06 | 0.039 | Brain CV2 × Education | −0.03 | 0.01 | −2.90 | 0.004 |
Results with p-values < 0.05 are shown in bold.