QUESTION 5 Consider the following, hypothetical, regression output. What equation between the dependent and independent variables does this output suggest? SUMMARY OUTPUT Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Statistics Regression Residual Total Intercept X Variable 1 X Variable 2 X Variable 3 0.703805921 0.495342774 0.400719544 3.776143985 1 df 20 3 16 19 Coefficients 0.498793971 0.120490894 0.044664396 -0.571136416 SS 223.9372857 228.1482143 452.0855 Standard Error 5.460492305 0.644407455 0.011446487 0.920647076 O Y=.498+.12X +.044X-.571X3 2 O Y = .92+.85X +.001X+.54X3 O Y=.5+.12X +.04X+.57X3 The regression equation cannot be determined from the output alone. MS 74.64576189 14.2592634 t Stat 0.091345971 0.186979361 3.902017967 -0.620364123 F 5.234896068 P-value 0.928351555 0.854027201 0.001268369 0.54375386 Significance F 0.010419185 Lower 95% Upper 95% Lower 95.0% Upper 95.0% -11.0769326 12.07452055 -11.0769326 12.07452055 -1.245591884 1.486573673 -1.24559188 1.486573673 0.068929864 0.020398929 0.068929864 0.020398929 -2.522821032 1.3805482 1.3805482 -2.52282103

Considor the following hypothebca, regression output. What equation between the dependent and independent varables does this output suggest? SUMMARY OUTPUT Y=.498+.12X1+.044X2.571X3Y=.92+.85X1+.001X2+.54X3Y=.5+.12X1+.04X2+.57X3 The regression equation cannct be determined from the output alone