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What does a correlation coefficient value of negative two indicate?
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 criticism1.There is a significant correlation between going to the hospital and dyingso hospital are imp?
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.
What does a correlation coefficient represent?
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.
Is 0.5 the strongest correlation coefficient?
No. The strongest correlation coefficient is +1 (positive correlation) and -1 (negative correlation).
What type of correlation do you have when are is equal to one?
A correlation coefficient of 1 (r=1) is a perfect positive correlation.
What does a correlation near 0 indicate?
A correlation near 0 indicates a weak linear association.
When are is close to -1 does it indicate a weak negative correlation?
No, it indicates an extremely strong positive correlation.
When are is close to -1 does it indicate a strong negative correlation?
Yes.
Measure of how closely one thing is related to another?
This is referred to as correlation, which quantifies the strength and direction of the relationship between two variables. The correlation coefficient can range from -1 to 1, where values closer to 1 indicate a strong positive relationship, values close to -1 indicate a strong negative relationship, and a value of 0 indicates no relationship.
What does a correlation coefficient value of negative two indicate?
A mistake in calculations! ;) If the calculations are done correctly then the sample correlation must lie within the closed interval [-1, 1].
What does the size of a correlation coefficient indicate?
Size of variables
What does dispersion indicate about the data?
correlation which can be strong or weak
Indicate whether these passage contain a faulty move from correlation to cause.if so state your criticism1.There is a significant correlation between going to the hospital and dyingso hospital are imp?
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.
Indicate whether these passages contain a faulty move from correlation to cause. If so state your criticism There is a significant correlation between going to the hospital and dying so hospital are?
Indicate whether these passages 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.
What does a correlation coefficient represent?
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.
What negative correlation indicate?
the negative sign on correlation just means that the slope of the Least Squares Regression Line is negative.
Is 0.5 the strongest correlation coefficient?
No. The strongest correlation coefficient is +1 (positive correlation) and -1 (negative correlation).
