1. Yes, a linear relationship is observable between Floor Area and Assessment Value.
2. According to the P-value highlighted above, since it is less than 0.05, there is evidence to say that Floor Area is a significant predictor of Assessment Value.
3. Yes, there is an observable inverse linear relationship between Age and Assessment Value. However, it is weak, with an r^2 = 0.003.
4. Since the P-value (0.33) is more than 0.05, there is not enough evidence to say that Age is a significant predictor of Assessment Value.
5. The overall fir r^2 is 0.9530 with adjusted r^2 as 0.9461.
6. The independent variables that are considered significant predictors are Floor Area and Offices. This is because their respective P-values are 3.59E-10 and 0.031382 which are less than 0.05.The predictors that are eliminated because of P-values not less than 0.05 are Entrances and Ages. The intercept should be eliminated too.
7. The final model using Floor Area and Offices is given byAssessment Value=115.91+0.26Floor Area+78.34Offices
8. The Assessment Value of a medical office building with 3500 sq. ft., 2 offices, and was built 15 years ago is approximately $1,182,590. This appears to be consistent to the assessment values of a building with similar features