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Last active December 26, 2015 01:19
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> noopept.model.productivity.correct <- lm(supplements$Productivity ~ supplements$Noopept + supplements$Mood)
> summary(noopept.model.productivity.correct)
Call:
lm(formula = supplements$Productivity ~ supplements$Noopept +
supplements$Mood)
Residuals:
Min 1Q Median 3Q Max
-1.54842 -0.44969 0.00732 0.47996 1.33340
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.633453 0.387922 1.633 0.105018
supplements$Noopept 0.010770 0.002958 3.641 0.000398 ***
supplements$Mood 0.609507 0.124422 4.899 2.95e-06 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 0.6056 on 124 degrees of freedom
(96 observations deleted due to missingness)
Multiple R-squared: 0.2151, Adjusted R-squared: 0.2024
F-statistic: 16.99 on 2 and 124 DF, p-value: 3.016e-07
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