Ho: The regression coefficient for each variable is not significant Note: technically we have one for each input variable. Ha: The regression equation is significant. Ho: The regression equation is not significant. (Note: since salary and compa are different ways of expressing an employees salary, we do not want to have both used in the same regression.) Plase interpret the findings. Looking at the above correlations – both significant or not – are there any surprises -by that I mean any relationships you expected to be meaningful and are not and vice-versa? e.ĝoes this help us answer our equal pay for equal work question? Ē Below is a regression analysis for salary being predicted/explained by the other variables in our sample (Midpoint, age, performance rating, service, gender, and degree variables. 28 as the signicant r value (at p = 0.05) for a correlation between 50 values, what variables are significantly related to Salary? To compa? d. Reviewing the data levels from week 1, what variables can be used in a Pearson’s Correlation table (which is what Excel produces)? b. (Use analysis ToolPak or StatPlus:mac LE function Correlation.) a.
Create a correlation table for the variables in our data set. Score: Week 5 Correlation and Regression đ.
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