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- A positive correlation between two variables, X and Y, indicates that: Group of answer choices as scores on X increase, scores on Y decrease as scores on X increase, scores on Y increase as scores on X decrease, scores on Y increase no relationship between X and YA negative correlation between two variables, X and Y, indicates that: Group of answer choices as scores on X increase, scores on Y decrease as scores on X increase, scores on Y increase as scores on X decrease, scores on Y decrease no relationship between X and YWhich option shows a positive linear association between the variables?
- If two variables are related so that increasing values of one variable are associated with decreasing values of other, then there is a what relationship between the varialves?If X and Y are independent the correlation cofficient between X and Y is equal zero ulgn İhiA negative correlation means that as the values on X increase, the values on Y O increase decrease O stay the same both increase and decrease
- Identify the true statements about the correlation coefficient, R. R cannot be greater than 1 or less than -1. The absolute value of R describes the magnitude of the association between two variables. When the data points in a scatter plot fall closely around a straight line that is either increasing or decreasing, the correlation between the two variables is strong. The correlation coefficient is not affected by outliers. A correlation coefficient of zero means that no relationship exists between the two variables. If two variables are negatively correlated, when one variable increases, the other variable also increases.An individual’s income varies with his or her age. The following table shows the median income I of males of different age groups within the United States for 2012. For each age group, let the class midpoint represent theindependent variable, x. For the class “65 years and older,” we will assume that the class midpoint is 69.5. (a) Use a graphing utility to draw a scatter diagram of thedata. Comment on the type of relation that may existbetween the two variables.(b) Use a graphing utility to find the quadratic function ofbest fit that models the relation between age and medianincome.(c) Use the function found in part (b) to determine the age atwhich an individual can expect to earn the most income.(d) Use the function found in part (b) to predict the peakincome earned.(e) With a graphing utility, graph the quadratic function ofbest fit on the scatter diagram.A chi-square test for independence is being used to evaluate the relationship between two variables. If the test has df = 1, what can you conclude about the two variables? a.One variable consists of 2 categories and the other consists of 4 categories. b.Both variables consist of 2 categories. c.Both variables consist of 3 categories. d.One variable consists of 2 categories and the other consists of 3 categories.
- The r^2and least square can be an excellent way to demonstrate the degree of correlation between 2 variables T or FWhen interpreting a correlation coefficlent of -0.92, you would say that there is a O strong positive linear relationship between x and y. weak positive weak negative O strong negativewhen r=-0.9 it mean strong negative correlation True False