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Two variables are negatively correlated when the slope of the best-fit line that is drawn on the scatter plot with the independent variable on the x-axis and the dependent variable on the y-axis is negative.

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What are two variables that are negatively correlated?

As the population increases, the living space per capita of the country decreases.


What is the meaning of confounding in statistics?

In statistics. a confounding variable is one that is not under examination but which is correlated with the independent and dependent variable. Any association (correlation) between these two variables is hidden (confounded) by their correlation with the extraneous variable. A simple example: The proportion of black-and-white TV sets in the UK and the greyness of my hair are negatively correlated. But that is not because the TV sets are becoming colour sets and so my hair is loosing colour, nor the other way around. It is simply that both are correlated with the passage of time. Time is the confounding variable in this example.


What is an example of two variables that would be positively correlated and two variables that could be negatively correlated?

False. Correlation coefficient as denoted by r, ranges from -1 to 1. Coefficient of determination, or r squared ranges from 0 to 1. I note that x,y data points that have a high negative correlation would plot with a negative trend or a negatively sloped line if a best fit regression line is determined. I note also that x,y data points with a high positive correlation would plot with a positive trend or positively sloped line if a best fit regression line is determined. The coefficient of determination for r = 0.9 and r= -0.9 would be 0.81.


If two variables are highly correlated the correlation coefficient will be at or near zero-true or false?

If two variables are highly correlated, the Pearson correlation will be close to -1.0 or +1.0. A correlation of zero shows no relationship.


Is memory loss a sign of a stroke?

Memory loss is not correlated with signs or pointing to a stroke. Memory loss is highly correlated with Alheizmer's disease. Signs of a stroke are loss of muscles, usually half the body.

Related Questions

Is it correct to state that when inflation increases unemployment decreases?

Yes, they are negatively correlated.


What pairs of variables is negatively correlated?

The number of times a pencil is sharpened and its length


Watson et al. (1984) - Narcissism and global empathy are _______ correlated?

Negatively


If the value of two variables decreases are they positively correlated?

Not necessarily. They must decrease together (the question does not say so). Also, the decreases may not be sufficient for the to be correlated. It is less likely that they are negatively correlated, but with the amount of information in the question that is about all that can be said.


What are two variables that are negatively correlated?

As the population increases, the living space per capita of the country decreases.


Why is the rain hot?

The temprature of the rain is negatively correlated to the bodys temprature. If you are hot the rain is cool if you are cool the rain is warm.


Impact of lack of close friends on narcissists?

Narcissists are psychologically healthy and is negatively correlated with daily sadness, anxiety, loneliness and depression and positively related to subjective wellbeing


Under what conditions mixed bundling preferable to pure bundling?

Mixed bundling is preferable to pure bundling when: - Demands are somewhat negatively correlated. - Marginal production costs are significant.


What insights can be gained from analyzing the relationship between variables in the graphs of x vs y or y vs x?

Analyzing the relationship between variables in graphs of x vs y or y vs x can provide insights into the nature of their relationship. By examining the direction, shape, and strength of the relationship, one can determine if the variables are positively correlated, negatively correlated, or not correlated at all. This analysis can help identify patterns, trends, and potential causal relationships between the variables.


If I increase one variable what will happen to the other variable?

The effect of increasing one variable on another depends on the relationship between them. If they are positively correlated, increasing one variable will likely lead to an increase in the other. Conversely, if they are negatively correlated, increasing one variable may cause the other to decrease. In cases where the variables are independent, changing one will have no effect on the other.


What is correlated equilibrium of the prisoner's dilema game?

In PD the only correlated equilibrium is a Nash equilibrium. No strictly dominated strategy can be played in a correlated equilibrium


What is the meaning of confounding in statistics?

In statistics. a confounding variable is one that is not under examination but which is correlated with the independent and dependent variable. Any association (correlation) between these two variables is hidden (confounded) by their correlation with the extraneous variable. A simple example: The proportion of black-and-white TV sets in the UK and the greyness of my hair are negatively correlated. But that is not because the TV sets are becoming colour sets and so my hair is loosing colour, nor the other way around. It is simply that both are correlated with the passage of time. Time is the confounding variable in this example.

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