The Spearman correlation can be +1.00 or 1.00 even when there is no linear relationship between the two variables.
Group of answer choices
True
False
Answer: True
The Spearman correlation can be +1.00 or 1.00 even when there is no linear relationship between the two variables, because the Spearman correlation of -1 or +1 also show perfect negative monotonic and positive monotonic correlations respectively which are non-linear in nature.
The Spearman correlation can be +1.00 or 1.00 even when there is no linear relationship between...
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.
Using your completed table, you can calculate the Spearman correlation in two different ways. One way is to use the Pearson correlation formula on the ranks of the data. When you do this, you get rs - -0.62. The second way to calculate the Spearman correlation is to use the following formula: Is = 1 - 62D2 n(n2 - 1) In this formula, D represents the difference between ranks for each individual. Using this formula, you get rs - -0.51....
A correlation coefficient is computed to be -0.95 means that the relationship between two variables is weak because it is negative. True/False
Question 3: a. I can tell the strength of a relationship between two variables by looking at the sign of the correlation coefficient(2 points) True False b. Which correlation coefficient represents the strongest relationship between two variables: (2 points) + 0.75 - 0.9 + 0.20 - 0.50
pts Compute the linear correlation coefficient between the two variables and determine whether a linear relationship exists. х 1 8 -1 18 5 2 y 13 1 3 10 4 8 11 6 3 0 15 2 Or=-0.995; linear relation exists O r=-0.885; no linear relation exists O r=-0.995; no linear relationship exists O r=-0.885; linear relation exists Question 30 4 pts The table lists the drinking habits of a group of college students. If a student is chosen at...
The phi correlation coefficient is a measure for the direction and strength of the linear relationship between two ________ variables.
Which of the following correlations represents the strongest relationship bet variables? a. Correlation = -1.00 b. Correlation = -0.50 c. Correlation = +0.38 d. Correlation = +0.78 Which of the following correlations represents the weakest relationship between two wariables? a. Correlation = -1.00. b. Correlation = -0.40. c. Correlation = +0.18. d. Correlation = +0.88.
The chi-square test for independence is similar to a correlation in that it evaluates the relationship between two variables. True or false. Explain your answer.
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
1. When no linear relationship exists between variable X and variable Y, r equals which of the following? a) −∞-∞ b) -1 c) 0 d) +1 e) +∞+∞ 2. Pearson’s r correlation measures the relationship between which of the following? a) Two continuous variables b) Two categorical variables c) One continuous and one categorical variable