1) B. False correlation coefficient cannot interpreted as cause and effect relationship.
2) C Yes. Because the correlation coefficient is used to......
3 )
False, correlation coefficient lies between -1 & +1
4) E any if the above
5) do not know about chapter 16 ???
Determine if the following statement is true or false. A correlation coefficient close to 1 is...
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.
True or False 1. The correlation coefficient is way to determine if one variable causes another variable to change. 2. A linear model is representation of the linear relationship between two variables. 3. The least squares line, or line of best fit, is the line which minimizes the sum of the individual squares of the residuals. 4. Most linear models do not have any residuals. 5. Regression equations can be used to make predictions. However, the context of the data...
Determine if the following statement is true or false. If you believe that the statement is false, briefly explain why you think it is false The chi-squared test of independence only detects linear association between variables in a contingency table. Choose the correct answer below. O A. The statement is true. O B. The statement is false because the test determines if two proportions are equal not if there is a linear association between the variables OC. The statement is...
Is the following statement true or false? The Pearson correlation coefficient is a scaled (i.e., standardized) version of the covariance. True False
A correlation coefficient is computed to be -0.95 means that the relationship between two variables is weak because it is negative. True/False
The statement is false. Correlation coefficient ranges between O and 1.
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 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.
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