Model 2: OLS, using observations 1-61 Dependent variable: Y coefficient std. error t-ratio p-value const 2. 89538 0. 618203 4. 684 1. 74e-05 *** X1...

hi i was wondering how to interpret the questions that is given?

• Attachment 1
• Attachment 2

Model 2: OLS, using observations 1-61Dependent variable: Ycoefficientstd. errort-ratiop-valueconst2. 895380. 6182034. 6841. 74e-05 ***X10. 6206100. 1179195. 2632. 15e-06 ***X2-0. 5019610. 105553-4. 7561. 35e-05 ***Mean dependent var3. 752468S.D. dependent var1. 191618Sum squared resid42. 97256S. E. of regression0. 860759R-squared0. 495610F (2, 58)Adjusted R-squared0. 47821828. 49525P-value (F)2. 40e-09Log-likelihood-75. 87073Akaike criterion157. 7415Schwarz criterion164.0741Hannan-Quinn160. 2233