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1.Correlation results imply a weaker causation than experimental results. 2.You should compute a regression equation only if the Pearson's r is significant. 3.The regression equation
1.Correlation results imply a weaker causation than experimental results. 2.You should compute a regression equation only if the Pearson's r is significant. 3.The regression equation includes the slope and Y-intercept values which allow one to graph the line. 4.A researcher has examined two groups and is analyzing the mean age. The mean for group 1 (N=10) was 19.89 and the mean for group 2 (N=10) was 17.67. After running the t test the derived t = 2.098. State the null and alternative hypothesis. Is there a significant difference at an alpha level of .05 (two-tailed test), between the two group's ages? Use a formal write up format
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