A correlation coefficient equal to -1 or +1 indicates perfect correlation. True or false?
Answer
True
A correlation coefficient equal to -1 indicates a perfect negative correlation
A correlation coefficient equal to +1 indicates a perfect positive correlation
the negative correlation means a decrease in one variable increases the number of other vs. positive means increase in one increases the other.
The perfect means there is no exception means every time the given data show increase for positive and decrease for negative.
A correlation coefficient equal to -1 or +1 indicates perfect correlation. True or false?
Determine if the following statement is true or false. A correlation coefficient close to 1 is evidence of a cause-and-effect relationship between the two variables. The statement is true O A. False. Only a correlation coefficient close to 0 indicates a cause-and-effect relationship between the two variables O B. False. A correlation coefficient should not be interpreted as a cause-and-effect relationship O c. True, but only if all the conditions for correlation are met. False. A correla.on coefficient of 1...
True or false: The Pearson's correlation coefficient of +0.4 shows a stronger linear association than a correlation coefficient of -0.4 True or false: If the value of the Pearson's correlation coefficient between two variables is equal to -0.7, it means that 49% of the variability in one variable can be explained by the other.
What is a perfect correlation? Identify the correlation coefficient for a perfect correlation and describe what it means, in terms of your x and y variables.
A covariance coefficient is bounded between 1 and -1. True or False? A correlation of 1.0 means that a scatterplot of X and Y would result in all the values falling on a straight, downward sloping line. True or False?
QUESTION 4 The Correlation Coefficient is 95.48% True False QUESTION 5 The Coefficient of Determination is 91.16% True False
True or false:1. The correlation coefficient and the covariance of two variables can have different signs. (True or False)2. Graphical analysis is a useful tool that allows the researcher to have an idea of the distribution of a data series. (True or False)3. A large data samples are usually normally distributed. (True or False)4. The standard deviation is always smaller than the variance. (True or False)
True or False: if the r(correlation coefficient) is closer to 1, the slope(beta) will be larger to reflect a stronger linear relationship between X and Y .
Which of the following are true statements about the correlation coefficient r? I. A correlation coefficient of .3 means that 30% of the points are highly correlated. II. The square of the correlation measures the proportion of the y-variance that is predictable from a knowledge of x. III. Perfect correlation, that is, when the points lie exactly on a straight line is r = 0.
Is the following statement true or false? The Pearson correlation coefficient is a scaled (i.e., standardized) version of the covariance. True False
True or False: The correlation coefficient is the ratio of explained variation to total variation.