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.