Solve clearly

A researcher conducts a multiple regression with Y as the dependent variable and X1, X2, X3 and X4 as explanatory variables. Using the regression output below, fully describe this model and discuss important parts of the output. What is the predicted value of Y if X1 = 3, X2 = 15, X3 = 7 and X4 = 0.003? SUMMARY OUTPUT Regression Statistics Multiple R 0.7236 R Square 0.5236 Arrested R Square 0.5159 Standard Error 5.3928 Observations 252 ANOVA US F Siquficance F Regression 7895.7567 1973.9392 67.8749 1.10662E-38 Residual 247 7183.2599 29.0820 Total 251 15079.0166 Coofficients Standard Error 1 Stat P.value Lower 95% Upper 95% 17.7278 7.9594 2.2273 0.026830873 2.0508 33 4049 X1 1.5583 0.2750 5.6662 4.05265E-08 1.0166 2.0999 1.8376 0.1997 9.1999 1.55861E-17 1.4142 2 2310 5.5100 0.9955 5.5348 7.9403GE-08 -7 4708 -3.5492 XA -3.1079 1887 8435 0.0016 0.990687768 -3/21.4324 3715.2166