A student would like to know if the time spent on studying and number of lectures attended for an exam is related to the exam scores. The student now collects data on the number of lectures attended in the same period. The information obtained is tabulated and the output from a multiple regression analysis is shown below: Regression Statistics Multiple R 0.859436 R Square 0.738631 Adjusted R Square 0.695069 Standard Error 9.963039 Observations 15 ANOVA of SS MS F Significance F Regression 2 3366.187 1683.094 16.95605 0.000318805 Residual 12 1191.146 99.26216 Total 14 4557.333 Standard Upper Coefficients Error t Stat P-value Lower 95% 95% Intercept 24.10 15.34 1.571456 0.142058 -9.313897659 57.51084 Hours spent Studying 0.58 5.17 0.112479 0.912303 -10.68968118 11.85345 Number of lectures attended 5.24 4.45 1.179938 0.260888 -4.440035431 14.92977 State the estimated multiple regression equation.Select one: 0 Y = 24.10 + 0.58X1 + 5.24X2, where Y is the exam score, X1 is hours spent studying and X2 is the number of lectures attended 0 if = 2410 + 0.58X1 + 5.24X2. where}? is the exam score, X1 is hours spent studying and X2 is the number of lectures attended 0 if = 2410 + 0.58X1 + 5.24X2, where)? is the estimated exam score, X1 is hours spent studying and X2 is the number of lectures attended 0 Y = 24.10 + 0.58X1 + 5.24X2, where Y is the estimated exam score, X1 is hours spent studying and X2 is the number of lectures attended Check