A Which of the Following Statements About Correlation Is Correct

A A correlation close to -1 indicates a strong relationship between two variables. 2 Correlation between two variables proves causation.

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The correlation is said to be linear.

. D To imply causation the correlation must be -1. Which of the following statements is TRUE. It determines the causes of the relationship between two securities returns The correlation coefficient is the particular measure that evaluates the strength of the direct relationship between the.

A The correlation coefficient measures risk. Positive covariance means that asset returns move together. The correlation is said to be positive.

A strong correlation is indicative of a causal relationship between variables. If the values of two variables move in the same direction ___________. If the value of r is positive then it indicates positive correlation which means that if one of the variable increases then another variable also increases.

Check all that apply. We say that there is a positive correlation between x and y if there is no distinct pattern in the scatterplotB. It is greater than or equal to -1 and less than or equal to 1 O d.

Explanation This statement should read If two assets have perfect negative correlation it is possible to reduce the portfolios overall variance to zero. A positive correlation means that two variables tend to change in opposite directions. B The correlation coefficient is a number between -1 and 1.

BCorrelation is always positive. ECorrelation measures the magnitude of a relationship between x and y. That is it doesnt change when the measurement units are changed for either or both of the variables.

D A correlation 0 indicates a positive relationship. -we say there is a positive correlation between x and y if there is no distinct pattern in the scatterplot -we say that there is a positive correlation between x and y if the x-values increase as the corresponding y. We say that there is a positive correlation between x and y if the x-values increase as the corresponding y-values decrease.

Which of the following statements about correlation isare true. Which one of the following statements is true about correlation and causality. B A negative correlation means that two variables tend to change in opposite directions.

D All of the above are correct. We say that there is a positive correlation between x and. B The correlation coefficient measures the strength of the linear relationship between two numerical variablesC The correlation coefficient has values that range from -10 to 10 inclusive.

If the correlation between two variables is 0 there is no clear. We say that there is a positive correlation between x and y if there is no distinct pattern in the scatterplot. Which of the following statements about correlation is true.

A correlation coefficient of 1 implies a weak correlation between two. C A high correlation indicates that explanatory variable is a direct cause of the response variable. Because the positive correlation means that change in same direction as if one variable increase then other also increases and if one variable decreases then other also decreases.

A The correlation is scaleless. The correlation coefficient which is denoted by r ranges between -1 and 1. A Correlation is the same even when we change from inches to centimeters.

0 If X and Y are significantly correlated then as values on X increase values on Y must increase. A Having a low correlation is sufficient enough to imply causation. We say that there is a negative.

The correlation is said to be negative. CCorrelation measures the significance of a relationship between x and y. C The sign of the correlation indicates the strength or consistency of.

Positive correlations are meaningful but negative ones are not. D All of these are true statements. C The correlation coefficient measures how two variables move relative to each other.

DCorrelation changes depending on which is the explanatory x and which is the response y variable. Statistics and Probability questions and answers. The statement Correlation is a numerical value between 11 and 2 is.

Choose the correct answer below. Which of the following statements about correlation is trueChoose the correct answer belowA. Which of the following statements about correlation is true.

Which of the following statements about correlation are true. That is it doesnt change when the measurement units are changed for either or both of the variables. Negative correlations are weak but positive ones are strong.

1 Correlation between variables occurs when two variables have a relationship. Which of the following statements about correlation is trueChoose the correct answer belowA. We say that there is a positive correlation between x and y if the x-values increase as the corresponding y-values increaseC.

If the value of r is negative then it indicates negative correlation which means that if one of the variable decreases then another variable. B A high correlation can indicate a relationship but cannot prove causation. Which of the following statements is NOT true.

Check all that apply. 3 The example of a correlation is when an increase in value of exports cause a fall in economic growth. If X and Y are significantly correlated then X must causeY If X and Y are significantly correlated then Y must causeX.

Check all that apply. A positive correlation means that two variables tend to change in the same direction. The sign of the correlation indicates the strength or consistency of the linear relationship between two variables.

A A value of 000 indicates that two variables are perfectly linearly correlated. The correlation is scaleless. BFor variables x and y the value of the correlation coefficent will not change cif the units of x and y are changed ie if both x and y are changed from say inches to meters dIf.

AIf the correlation coefficent rr is negative then the slope of the regression line must always be negative. A correlation with higher coefficient value implies causation. Correlation coefficient cannot be calculated for all scatterplots.

Correlations close to 10 or 10 are strong whereas correlations close to 0 are weak. Which of the following statements about correlation are true. We say that there is a positive correlation between x and.

The statement A positive correlation means that two variables tend to change in the same direction is TRUE. B A correlation 0 indicates a positive relationship. Which one of the following statements about correlation is correct.

Uni2713 B uni2717 C A uni2717 B uni2717 C If two assets have perfect negative correlation it is impossible to reduce the portfolios overall variance. Which of the following statements about correlation isare true-A correlation close to -1 indicates a strong relationship between two variables-A correlation of 1 is preferable to a correlation of -1-A correlation close to 1 indicates a strong relationship between two variables-A correlation 0 indicates a positive relationship. It is a statistical measure.

The sign of the correlation coefficient might change when we combine two subgroups of data. C A correlation close to 1 indicates a strong relationship between two variables. Which of the following statements about correlation are true.

The correlation is said to be non-linear. Select the statement regarding the correlation coefficient r that is TRUE.

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