Answer:
It is not quite accurate
Explanation:
The first factor is the Upper R squared, which is 79.0%.
this value should be more than 90% in order to get quite accurate, 80% is normal, and below 80% accuracy decreases notably.
It indicates that probably the linear model is not the best for this data, and it is neccesary to probe other non linear models.