Table 2:
Regression Results: See the five models presented in the rows below. The outcome variable is listed across the top. The variables and covariables are listed on the left side of the column. An example of how to read the first model under 1 is provided: ΔLetter Fluency = 3.60 – 2.05 * (Log of Fp1 Theta Power) + .02 * (Test of Premorbid Function)
| Regression Results | |||||
|---|---|---|---|---|---|
| ΔLetter Fluency | Log of Fp1 Theta Power | Log of Fp2 Theta Power | ΔLetter Fluency | ||
| OLS | OLS | OLS | OLS | ||
| 1 | 2 | 3 | 4 | 5 | |
| Constant | 3.60 (−8.70, 15.89) | 6.76 (−7.49, 21.00) | 2.27 (.16, 4.38) | 3.49* (1.12, 5.85) | 5.52 (−7.50, 18.54) |
| Log of Fp1 Theta Power | −2.05* (−3.90, −.21) | ||||
| Log of Fp2 Theta Power | −2.20* (−3.63, −.78) | ||||
| Test of Premorbid Function | .02 (−.08, .12) | 0.00 (−.11, .12) | −0.00 (−.10, .10) | ||
| Ebrain | .03*** (.02, .04) | .03*** (.02, .04) | −.06 (−.11, −0.00) | ||
| Age | −.03 (−.06, 0.00) | −.05* (−.08, −.01) | |||
| Observations | 15 | 13 | 15 | 13 | 17 |
| R2 | .29 | .48 | .70 | .74 | .23 |
| Adjusted R2 | .17 | .38 | .65 | .69 | .12 |
| Residual Std. Error | 2.44 (df = 12) | 2.16 (df = 10) | .41 (df = 12) | .48 (df = 10) | 2.54 (df = 14) |
| F Statistic | 2.41 (df = 2; 12) | 4.69* (df = 2; 10) | 14.02*** (df = 2; 12) | 14.57** (df = 2; 10) | 2.13 (df = 2; 14) |
Notes:
*
P < .05,
**
P < .01,
***
P < .001
OLS – Ordinary Least Squares