Question: 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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