Score: Week 5 Correlation and Regression <1 point> 1. Create a correlation table for the variables in our data set. (Use analysis ToolPak or StatPlus:mac LE function Correlation.) a. Reviewing the data levels from week 1, what variables can be used in a Pearson's Correlation table (which is what Excel produces)? b. Place table here (C8): c. Using r = approximately .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. 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. Does this help us answer our equal pay for equal work question? <1 point> 2 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. (Note: since salary and compa are different ways of expressing an employee’s salary, we do not want to have both used in the same regression.) Plase interpret the findings. Ho: The regression equation is not significant. Ha: The regression equation is significant. Ho: The regression coefficient for each variable is not significant Note: technically we have one for each input variable. Ha: The regression coefficient for each variable is significant Listing it this way to save space. Sal SUMMARY OUTPUT Regression Statistics Multiple R 0.9915591 R Square 0.9831894 Adjusted R Square 0.9808437 Standard Error 2.6575926 Observations 50 ANOVA df SS MS F Significance F Regression 6 17762.3 2960.38 419.1516 1.812E-36 Residual 43 303.7003 7.0628 Total 49 18066 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept -1.749621 3.618368 -0.4835 0.631166 -9.046755 5.5475126 -9.04675504 5.54751262 Midpoint 1.2167011 0.031902 38.1383 8.66E-35 1.1523638 1.2810383 1.152363828 1.28103827 Age -0.004628 0.065197 -0.071 0.943739 -0.136111 0.1268547 -0.13611072 0.1268547 Performace Rating -0.056596 0.034495 -1.6407 0.108153 -0.126162 0.0129695 -0.12616237 0.01296949 Service -0.0425 0.084337 -0.5039 0.616879 -0.212582 0.1275814 -0.2125.