Which value of r represents data with a weak negative linear correlation between two variables? This problem has been solved! Which of the following describes the correlation between person-organization fit and job performance? 1. Which of the following is the most appropriate interpretation of a product-moment correlation coefficient of 0.8? A. Lv 7. It indicates that bonds perform well when equities sell off. Negative correlation C. Equal correlation D. No correlation It won't let me share the graph. Describe in words the nature of the relationship between each pair of variables as indicated by the value of the correlation coefficient. two sets of phenomena, A and B. Favorite Answer. Correlation. The other numbers given in the question indicate very weak correlation. strong, negative. a. strong positive is the answer. In the negative slant, the correlation is negative, i.e. In finance, a negative correlation or an inverse relationship occurs between investment returns of 2 different assets. David Nettleton, in Commercial Data Mining, 2014. A2.S.8: Correlation Coefficient: Interpret within the linear regression model the value of the correlation coefficient as a measure of the strength of the relationship 1 Which value of r represents data with a strong positive linear correlation between two variables? Scatter Diagram with Strong Negative Correlation. 4) There is a moderate negative correlation between the variables. See the answer. This diagram is also known as a Scatter Diagram with a Negative Slant. 10 What does it mean to say that data has a strong negative correlation coefficient? Given the following scatter diagram , the sample correlation coefficient r: Has a positive linear correlation Has a negative linear correlation. See my table below. dodgetruckguy75. A correlation of -0.97 is a strong negative correlation while a correlation of 0.10 would be a weak positive correlation. A negative correlation is written as “-1.” In other words, while x gains value, y decreases in value. 2) There is a strong negative correlation between the variables. weak, negative. answer choices ... strong negative correlation. Of course,in the real world, this will not generally happen. Correct answers: 1 question: Which of the following correlational coefficients represents that strongest correlation? A value of r = + 0.92 is a strong positive correlation. z If x and y have a strong negative linear correlation, r is close to -1. Expert answered|alvinpnglnn|Points 9704| User: Which r–value represents the strongest negative correlation? (3) There is a negative cause and effect relationship. A is wrong. The longer a couple stays in therapy, the more satisfied they report being with their relationship b. Correlation coefficients can range from -1.00 to +1.00 where a value of -1.00 represents a perfect negative correlation, which means that as the value of one variable increases, the other decreases while a value of +1.00 represents a perfect positive relationship, meaning that as one variable increases in value, so does the other. In both these cases, all of the original data points lie on a straight line. –0.7 –0.22 0.38 0.9 The more a person watches reality television, the higher their IQ c. The more books a family has in their house, the higher their annual household income is d. it is (2) -0.89. Positive correlation B. 01 c) .2 d) -.8 It is impossible to have r > 1. Explain your choice. A value of r = - 0.14 is a very weak negative correlation. Which of the following graphs shows a strong negative linear correlation between the variables? Keep in mind that any numbers that are between -0.5 and -0.7 show weak negative correlation only, same for positive. 1) 0.89 2) 0.34 3) 1.04 4) 0.01 2 Which value of r represents data with a strong
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