Dep. % WRK Indep.= % MGT SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA df SS MS Significance F 0.0001 Regression Residual Total 7.0000 0.6237 Coefficients t Stat Standard Error 3.9422 0.0542 P-value Lower 95% Urrer 95% 0.0000 0.0001 Intercept % MGT CI CI PI PI Lower 95% Upper 95% Lower 95% Upper 95% 68.0000 71.0000 74.0000 Predicted Value 68,2812 69.7058 71.1304 SE Predicted Value 0.3093 0.2709 0.3917 Den = % MGT Inden =% WRK DESIN MOT iridep WAK SUMMARY OUTPUT Regression Statistics Multiple R Square Adjud R Square Standard tror Observations ANOVA Significance df MS 0.0001 Regression Residus Total 70000 25347 5 Coeficients Intercept WRK Standard Error 35.5286 0.2203 Palue Lower 95Upper 35 0.0047 0001 C Lower 95M CI Upper 95% PE Lower 95% Upper 95 XO 68.0000 71.0000 74.0000 Predicted Value 678383 73.6277 794170 SE Predicted Value 0.6230 0.5461 0.7896 Is there a relationship between the percent of management jobs held by men in a company (MGT) and the percent of men working in a company (% WRKI? Based on this paragraph of texture the correct excel output above to answer the following question minum All Antonella 25347 Tot Standard TEATE Comments intercept W WAX 5550 0.220) LES TUDO GO 00005 CI Upper 9 PI LORE Upper RO 60000 71.0000 70 0000 Predicted Value 676383 726277 794170 53 Predicted V 0.620 05461 010 Is there arationship between the percent of management Jobs Field by men na company (MOT) and the percent of men working in a company Ped on paragraph, the correct excel output above to answer the following question. Wit is the son predine interval for an individual value ofy when xy = 74 without une (73.1982. 85 6352) b. None of the answers a correct 176.6502 82.1798) (740892, 84.7448) (640459, 7421491