The closer the correlation is to 1 or -1, the more linear the data is
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A mistake in calculations! ;) If the calculations are done correctly then the sample correlation must lie within the closed interval [-1, 1].
Indicate whether these passage contain a faulty move from correlation to cause.if so state your criticism? 1.There is a significant correlation between going to the hospital and dying,so hospital are important causal factors in the occurrence of deaths.
The correlation coefficient for two variables is a measure of the degree to which the variables change together. The correlation coefficient ranges between -1 and +1. At +1, the two variables are in perfect agreement in the sense that any increase in one is matched by an increase in the other. An increase of twice as much in the first is accompanied by double the increase in the second. A correlation coefficient of -1 indicates that the two variables are in perfect opposition. The changes in the two variables are similar to when the correlation coefficient is +1, but this time an increase in one variable is accompanied by a decrease in the other. A correlation coefficient near 0 indicates that the two variables do not move in harmony. An increase in one is as likely to be accompanied by an increase in the other variable as a decrease. It is very very important to remember that a correlation coefficient does not indicate causality.
No. The strongest correlation coefficient is +1 (positive correlation) and -1 (negative correlation).
A correlation coefficient of 1 (r=1) is a perfect positive correlation.