(b) Scatter plot.
A scatter plot can suggest various kinds of correlations between variables and it is obtained by plotting one variable on X axis and other variable on Y axis. If the plotted points slopes from lower left to upper right, it indicates a positive correlation, and if the plotted points slopes from upper left to lower right, it indicates a negative correlation. If there is no such trend indicates absence of correlation. ( no correlation.
Other options
(a) Correlation coefficient is a number and is a measure of association between two variables.
(c) A histogram is a graphical representation of the data to get an idea about the distribution of data. It is for one variable. Height of a bar in histogram represents frequency density of that interval
(d) A frequency polygon is constructed by joining the frequencies in each interval taking mid point of each interval in X axis, The heights of the points represent the frequencies of that particular interval.
А --- is a graphical representation of the relation between two variables. a correlation coefficient Ob...
Compute the linear correlation coefficient between the two variables and determine whether a linear relation exists. Round to three decimal places X y 2 1.3 3 1.6 5 2.1 5 2.2 6 2.7 Click the icon to view the critical values table, A 0.983, a linear relation exists OB. r=0.883; a linear relation exists O C 0.883; no linear relation exists O D . r=0.983; no linear relation exists
Consider a two-dimensional scatterplot representing the relationship between two continuous variables. If the correlation coefficient is -1, then: a. All points lie in a straight line with a slope of -1. b. All points lie in a straight line with an unknown negative slope. c. All points do not lie in a straight line but the best fitting regression line has a slope of -1. d. There is a strong positive relationship between the two variables.
If the correlation coefficient between two variables is 0.5 and the standard deviation of the variables is 5 and 10, respectively, then the sample covariance is approximately ... a. 25 b. 50 c. 250 d. Impossible to determine with any level of accuracy.
help Question 11 2 pts If the coefficient of correlation between two variables is-0.6, the coefficient of determination will be: e 0,4. -0.6 -0.36. 0.6 0.36 Question 11 2 pts If the coefficient of correlation between two variables is-0.6, the coefficient of determination will be: e 0,4. -0.6 -0.36. 0.6 0.36
1) The correlation coefficient determined for two variables has a value of 0.89. Describe, in words, the correlation between the two variables. 2) The correlation coefficient determined for two variables has a value of 0.13. Describe, in words, the correlation between the two variables. 3) The correlation coefficient determined for two variables has a value of -0.93. Describe, in words, the correlation between the two variables.
If correlation coefficient between two random variables is zero, then it can be certain that they are also independent True False
What is the best graphical summary for categorical variables? a. Box plot Ob. Histogram O c. Pie chart d. Bar chart
A correlation coefficient is computed to be -0.95 means that the relationship between two variables is weak because it is negative. True/False
22. The coefficient of determination explains the relationship between two variables the proportion of variance in one variable accounted for by another variable and vice versa the cause–effect relationship between two variables all of the above 23. The ____________ assumption is met if, in a scatterplot, the distance from the points to the line is relatively equal all along the line. a. homoscedasticity b. linearity c. curvilinearity d. heterolinearity 24. The strength of a relationship between two variables in correlation...
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