Which of the Following Statements Is Correct Concerning Correlation Coefficients

Which of the following statements regarding the coefficient of correlation is true. ABecause there is no correlation there is no need to examine the scatterplot.

Introduction To Correlation And Regression Analysis

A It ranges from -10 to 10 inclusive B It measures the strength of the relationship between two variables C A value of 000 indicates two variables are not related D All of.

. The statement tha is correct concerning correlation coefficients would be that a correlation of 89 and -89 are both strong and equal. Correlation coefficients are indicators of cause and effect. Regression on the other hand evaluates the relationship between an independent and a dependent variable.

The closer the value of the correlation coefficient is to the negative one the weaker the relationship between the returns on the two securities. While in regression the emphasis is on predicting one variable from the other in correlation the emphasis is on the degree to which a linear model may describe the relationship between two variables. The correct statements regarding correlation coefficient are.

Correlation is a statistical tool that shows the association between two variables. A negative value indicates a weak correlation between the two variables. It would have a value ranging from -1 to 1.

A correlation of 15 is very strong. B It is calculated as the square of the slope. So the last option would be wrong.

A A high correlation coefficient tells us the data are linear. D It describes the relationship between two variables. Correlation coefficient between stock A and stock 8 is 07 indicates if the price of stock A increases by 10 the price of stock B increases by 7.

Correlations - Finding Relationships in the. C The correlation coefficient measures how two variables move relative to each other. 18 A A value of 000 indicates two variables are related.

B The correlation coefficient is a number between -1 and 1. Group of answer choices Its absolute value cannot exceed 1. Incorrect Question 3 01 pts Which of the following statements is correct concerning correlation coefficients.

Which of the following statements is correct concerning correlation coefficients. A It ranges from 10 to 10 inclusive B It measures the strength of the relationship between two variables C A value of 000 indicates two variables are not related D All of. If X and Y have positive correlation coe Unlock 15 answers now and every day.

A linear correlation coefficient of 062 suggests a. Which of the following statements is correct regarding obtaining a correlation coefficient of zero. Correlation coefficient is the measure of the degree of linear relationship between two variables usually labelled X and Y.

It only takes non-negative values. Which of the following statements are true. Advertisement sebastanaka is waiting for your help.

Which among the following statements regarding correlation coefficient isare correct. Which of the following statements is correct concerning correlation coefficients. A negative value indicates a week correlation between the two variables.

B correlation of 89 and -89 are both strong and equally so. A correlation of 89 and 89 are both strong and equally so A correlation of 89 is strong and -89 is weak. A correlation of 89 and -89 are both strong and equally so.

If the linear correlation coefficient for two variables is zero then there is no relationship between the variables. 18 Which of the following statements regarding the coefficient of correlation is true. Is the square of the.

Below is a list of multiple-choice questions and answers on Correlation and Regression to understand the topic better. D All of the above are correct. A correlation coefficient is a value that measures dependence and correlation between variables.

Is usually written as r2. The coefficient of correlation is the square root of the coefficient of determination. Correlation coefficients are indicators of cause and effect.

C correlation coefficients are indicators of cause and effect D correlation of 15 is very strong. Asked Oct 1 2016 in Statistics by Lauren. B A correlation coefficient of -1 means that as one variable increases the other decreases.

BIf the scatterplot is curvilinear that would further support the notion that there is no meaningful relationship between the variables. A correlation of 89 and -89 is weak. CIf the scatterplot is curvilinear that might indicate that.

If the value of r is negative then it indicates negative correlation which means that if one of the variable decreases then another variable. Its absolute value cannot exceed 1. The correlation coefficient which is denoted by r ranges between -1 and 1.

A The correlation coefficient measures risk. C A correlation coefficient of 0 means that two variables are perfectly linearly related. A correlation of 15 is very strong Review.

The correlation coefficient is dependent on the units of measurements. Which of the following statements regarding the coefficient of correlation is true. The value of the linear correlation coefficient always lies between -1 and 1.

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. The correlation coefficient is dependent on the choice of both origin and scale observations. If the slope of the regression line is negative then the linear correlation coefficient is negative.

17 Which of the following statements regarding the correlation coefficient is true. A positive value indicates a strong correlation between the two variables. A positive value indicates a strong correlation between the two variables.

C It ranges from 00 to 10 inclusive. MCQs on Correlation and Regression. QUESTIONWhich of the following statements is correct regarding obtaining a correlation coefficient of zeroANSWERA Because there is no correlation there i.

A correlation of 89 is strong and -89 is weak.

Introduction To Correlation And Regression Analysis