SEMO is trying to forecast the number of people who attend graduation (i.e., family and friends) based on the number of students who have completed their degree requirements. You have input the data into Excel and obtained the following output. State the regression model that should be used for forecasting, comment on the significance of the model, and predict graduation attendance when 1,200 students have completed degrees. SUMMARY OUTPUT Regression Statistics Multiple R 0.993460507 R Square 0.986963779 Adjusted R 0.983704724 Square Standard 118.4951302 Error Observations 6 ANOVA df SS MS F Significance F Regression 1 4252168.95 4252168.95 302.8373984 6.40076E-05 Residual 4 56164.38356 14041.09589 Total 5 4308333.333 Standard Coefficients t Stat P-value Lower 95% UpF Error Intercept -879.4520548 325.1931885 -2.704398757 0.053848475 -1782.333091 23.4 X Variable 1 5.287671233 0.303850315 17.40222395 6.40076E-05 4.444047512 6.1