Which of the following is false?
Correlation coefficient and the slope always have the same sign (positive or negative).
If the correlation coefficient is 1, then the slope must be 1 as well.
Correlation measures the strength of linear association between two numerical variables.
If the correlation between two variables is close to 0.01, then there is a very weak linear relation between them.
TRUE , Correlation coefficient and the slope always have the same sign (positive or negative). (sign of correlation shows direction of relationship, which is same as slope)
FALSE, If the correlation coefficient is 1, then the slope must be 1 as well. (there is no such rule)
TRUE , Correlation measures the strength of linear association between two numerical variables. (the magnitude of correlation shows the amount of strength, and the sign shows the direction)
TRUE, If the correlation between two variables is close to \(0.01\), then there is a very weak linear relation between them. (by definition, zero correlation means no linear relationship, and any correlation away from 0 is better than zero.)
Which of the following is false? Correlation coefficient and the slope always have the same sign...
Determine whether each of the following statements regarding the correlation coefficient is true or false. The correlation coefficient equals the proportion of times that two variables lie on a straight line. The correlation coefficient will be +1.0 if all the data points lie on a perfectly horizontal straight line. The correlation coefficient measures the strength of any relationship that may be present between two variables. The correlation coefficient must always lie between –1.0 and +1.0.
Which of the following statements regarding the correlation coefficient is not true? A) The correlation coefficient has values that range from-1.0 to 1.0 inclusive. B) The correlation coefficient measures the strength of the linear relationship between two numerical variables C) A value of 0.00 indicates that two variables are perfectly linearly correlated D) All of these are true statements
Which of the following is FALSE about Correlations: We can use the Pearson Correlation Coefficient when both variables are measured on an interval or ratio scale A correlation examines the relation between two variables The Pearson Correlation Coefficient describes the relation between two variables in terms of the strength and direction of the relationship. A correlation implies causation
Which of the following best describes correlation? a.) Correlation measures the strength of the relationship between any two variables. b.) Correlation measures the strength of the linear association between two categorical variables. c.) Correlation measures how much a change in the explanatory variable causes a change in the response variable. d.) Correlation measures the strength of the linear relationship between two quantitative variables.
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...
1. construct a scatter plot for the variables 2. compute the value of the correlation coefficient 3. give an explanation of the type nof relationship that exists between the two variables. The explanation should be a short paragraph. In this paragraph inclue the following: *say whether the is a strong positiv elinear correlation, weak positive linear correlation, strong ngative linear correlation, weak negative correlation, or no linear correlation between the two variables. *explain how you can see this from the...
Which of the following statements regarding regression and correlation are true? (There may be more than one correct answer.) a. A value of the linear correlation, r, near -1 means the data is tightly bundled around a line, and predictions within the scope of data are very reliable. b. When the slope of a linear regression equation is near 0, then the linear correlation between the two variables must also be near 0. c. The average error between the actual...
Which of the following statements regarding regression and correlation are true? (There may be more than one correct answer.) a. If the linear correlation between two variables is 0, then there is no relationship between the two variables. b. When the slope of a linear regression equation is near 0, then the linear correlation between the two variables must also be near 0. c. The average error between the actual values and the predicted values of a least squares line...
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 .
Suppose you have 17 data points and you calculate the sample correlation coefficient and find that r = .45. Can you be 95% confident that a linear relation exists between the variables? If so, is the relation positive or negative? Justify you answer