The table represents the cost of buying a piece of land in a remote village since the year 1990 which kind of function best models the realationship

Explanation:

The question is incomplete. The table is missing.

The table is:

Time (years)       Cost (thousands of dollars)

0                              30

2                              36.9

4                              44.1

6                              51.1

8                              57.9

10                             65.1

This problem is in the context of linear and exponential models. Then, you must choose whether a linear or exponential model best fit the data.

First, look at the input values, i.e. the time in years: they increase by constant difference of 2 years:

Let's see if the data fit a linear model: calculate the difference between every consecutive outputs:

Then, even though the difference is not exactly constant it is pretty close ot 7 (thousand dollars) every two years.

That is pretty good for models that try to predict data from the real world.

Then, you can safely assert that a linear function best models the relationship.

On the other hand, if you test for a constant ratio between consecutive outputs, which is what an exponential model returns, you would find:

Hence, this is far from a constant ratio and you can be sure this is not an exponential model.

all the angles opposite to the angle 150 would be 150 and all the angles that are next to 150 are 30 because they equal 180 it you add it up.

step-by-step explanation: