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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).

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Correlation is a measure of the degree of agreement in the changes (variances) in two or more variables. In the case of two variables, if one of them increases by the same amount for a unit increase in the other, then the correlation coefficient is +1. If one of them decreases by the same amount for a unit increase in the other, then the correlation coefficient is -1. Lesser agreement results in an intermediate value. Regression involves estimating or quantifying this relationship. It is very important to remember that correlation and regression measure only the linear relationship between variables. A symmetrical relationshup, for example, y = x2 between values of x with equal magnitudes (-a < x < a), has a correlation coefficient of 0, and the regression line will be a horizontal line. Also, a relationship found using correlation or regression need not be causal.


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There isn't any correlation between gathering wealth and IQ. Many factors are involved on becoming rich and keeping themselves rich. If it was true, IQ and wealth involved, rich men would not lose their wealth never. Desire of success and power leads many persons with a medium IQ to become rich.

Related Questions

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