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How would you describe this correlation? Is there correlation between outsider and Communication1? This is all the information available. > cor.test(interaction$Outsider, interaction$Communication1) Pearson's product-moment correlation
How would you describe this correlation? Is there correlation between outsider and Communication1? This is all the information available.
> cor.test(interaction$Outsider, interaction$Communication1) | ||||
Pearson's product-moment correlation | ||||
data: interaction$Outsider and interaction$Communication1 | ||||
t = -0.99099, df = 13, p-value = 0.3398 | ||||
alternative hypothesis: true correlation is not equal to 0 | ||||
95 percent confidence interval: | ||||
-0.6843741 0.2860785 | ||||
sample estimates: | ||||
cor | ||||
-0.2650227 | ||||
lm(formula = Outsider ~ Communication1, data = interaction) | ||||
Residuals: | ||||
Min 1Q Median 3Q Max | ||||
-1.22353 -0.48824 0.01176 0.65882 1.24706 | ||||
Coefficients: | ||||
Estimate Std. Error t value Pr(>|t|) | ||||
(Intercept) 3.6941 0.6659 5.547 9.43e-05 *** | ||||
Communication1 -0.2353 0.2374 -0.991 0.34 | ||||
--- | ||||
Residual standard error: 0.7993 on 13 degrees of freedom | ||||
Multiple R-squared: 0.07024, | Adjusted R-squared: -0.001283 | |||
F-statistic: 0.9821 on 1 and 13 DF, p-value: 0.3398 |
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