Respuesta :
The answer is A.thus, this is a linear model. To check,you can see visually that the points are more fitted to the line than the curve.
What is linear regression?
Linear regression is the most basic and commonly used predictive analysis. Regression estimates are used to describe data and to explain the relationship.
The difference between the linear model and the exponential model is the degree of difference of consecutive points. If their difference is constant, then it is more appropriate for the linear model. If their difference is increasing at a very fast rate, then that follows an exponential model. With that being said, let's look at the differences at every 6 month-intervals.
2700-2110 = 590
2110-1500 = 610
1500-870 = 630
870-220 = 650
Their differences are about the same having a mean of 620. Thus, this is a linear model. To check,you can see visually that the points are more fitted to the line than the curve. The answer is A.
To know more about Linear regression follow
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