what kind of correlation would you expect to find between a city's annual and the size of its population
Correlation determines relationship between two variables. For example changes in one variable influence another variable, we can say that there is a correlation between the two variables. For example, we can say that there exists a correlation between the number of hours spent on reading and preparation and the scores obtained in the examination. One can infer that higher the amount of time spent on preparation may result in better performance in examination leading to higher scores. Hence the above is a case of positive correlation. If an increase in independent variable leads to an increase in dependent variable, it is a case of positive correlation. On the other hand if an increase in independent variable leads to a reduction in dependent variable, it is a case of negative correlation. An example for negative correlation could be the relationship between the age advancement and resistance to diseases. As age advances, resistance to disease reduces.
There are an infinite amount of numbers between them, with 0.75 being halfway between them.
300,000,000 or Three hundred million (roughly the population of the USA).
There are an infinite amount of answers to that. 0.85 is exactly halfway between them.
An infinite amount.
Negative correlation, for two reasons. 1. People do not like to live in very cold places (think of the population near the Poles). 2. Population centres are hot spots due to man-made structures and activities. Buildings and roads absorb and retain heat more than nature. This micro-climate results in less snowfall (it melts before settling).
negative correlation
Between 80-90"
Yes
Yes
There is obviously a correlation between population numbers and the amount of fuels used. Many of which release CO2 into the atmosphere. CO2, after water vapour, being the main contributor to the greenhouse effect. The exact amount of change caused by over population is very difficult to calculate.
Yes
The correlation between precipitation rate and level of atmospheric pressure is very apparent. As atmospheric pressure decreases, the amount and intensity of precipitation increases.
6
This relationship is called the correlation between the amount of drivers education students have and the number of accidents they have. A positive correlation indicates that more education leads to fewer accidents, while a negative correlation would suggest the opposite.
There has been no definitive evidence that genetic modification of wheat causes an increase in celiac disease. However, there is a correlation between celiac disease and the amount of wheat ingested in a population.
Trace