The statement must match the changes in population that occured during that time. The only statement that correctly connects to the population change is the statement concerning hunting changes for deer and wolves, which would decrease the wolf population and account, then, for the rise in deer population.

You must consider first the year in question and then acount for the particular trend occuring in that year. From 1955-1965, the population is increasing, which would not correlate with a harsh winter. The same is true for 1955-2005; more deer hunting would not see an increase in population. 

This is a simple matter of interpolating the data, or reading the graph carefully. 1980 would be 75 years after the population was introduced (note the graph begins in 1905 and not 1900), or halfway between the 50 and 100 year mark. The closest answer is 300,000 (notice the population is counted in thousands). Be carefuly when considering units of measurement; consider every piece of data the graph gives you. In this case it is that 1980 is the 75 year mark, and that the population is counted in thousands.

The deer population is just under 500 thousand in 2005, and steadily increasing, though not too rapidly. It would stand to reason that ten years later the population will be just over 500,000, given this trend.

This question requires an inference based on data extrapolation, or consdering the current trend and assuming nothing drastic will happen to change that trend. In this case, the data suggests the deer population will continue to gently increase into 2015 and, saving a drastic population drop, will be around 500,000 at that time. 

It is not stated what causes moons to affect the tides on the planet's oceans. The mass of the moon, radius of the moon and distance from Planet H to each moon could impact the affect on the oceans due to the moons. However, it is not stated how each parameter will affect each moon's impact on the tides on Planet H. For example, the mass of the moon could be the largest determining factor or the distance from planet H to each moon could be the largest determining factor on the impact of each moon's affect on the tides. Therefore, the answer cannot be determined from the given information.

Comet A has the largest diameter at 11.3km and the longest orbit time at 82.3 years. This suggests a direct relationship. Comet B has the shortest diameter of 5.2km and the shortest orbit time at 47.8 years. This also suggests a direct relationship and this trend can be seen in the other two comets. The correct answer is the larger the diameter, the longer the orbit time.

It can be seen in the data that the smaller the diameter, the shorter the orbit time of each comet. The smallest comet previously observed was Comet B that had a diameter of 5.2km and an orbit time of 47.8 years. Since the new found comet has a smaller diameter than Comet B, it should be estimated that the new comet has a shorter orbit time than Comet B. In other words, the new comet's orbit time should be less than 47.8 years. The correct answer is 41.3 years.

There is a trend in the data between the number of fresh water reservoirs and annual rainfall. As the amount of annual rainfall increases, so does the number of fresh water reservoirs. In Region B the annual rainfall was 51.3 inches and has the most reservoirs with 16. Since we are looking at region with 20 reservoirs and there is a direct relationship, the possible amount of annual rainfall must be larger than 51.3 inches. The correct answer is 64.3 inches. Note that Region C has more rainfall than Region A, but both have zero fresh water reservoirs. This can be do to that fact that there may be a minimum value of annual rainfall to maintain a fresh water reservoir.

Region A has the highest average temperature at 102.4 Fahrenheit, while Region C has the lowest average temperature at 0.4 Fahrenheit. Both of these regions have zero fresh water reservoirs. Since Region A has the highest temperature with zero reservoirs and Region C has the lowest temperature with zero reservoirs there is no clear relationship between the temperature and number of fresh water reservoirs in given data. 

It is true that the rainfall recorded increases each year. However there is nothing that indicates what is causing this increase. Furthermore it is not noted when the factories were built so it is not possible to determine how the factories affected the rainfall. The answer cannot be determined from the given information. 

Looking at the month with the most rainfall, one will notice in year 1 that July has the most rainfall with 3.8", in year 2 it is also July with 4.1" and so on. Therefore in any year of the given data the month with the most rain is always July. In year 1 the total rainfall for the months was 11.8", in year 2 it was 13.8", in year 3 it was 15.4" and in year 4 it was 18.5" indicating that the rainfall increases each year.