Mathematics

Mathematics, 09.08.2019 18:20, eamccoy1

When determining whether there is a correlation between two variables, one should use a to explore the data visually.

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Mathematics, 22.07.2019 16:20, stressedmolly8387

Which statement is true about correlation: the correlation between two variables depends on their covariance and on the variance of each of the variables. the pearson correlation coefficient is based on the ranks of the data points, like the wilcoxon test. a correlation of -1 means that there is no linear relationship between the two variables. the spearman correlation coefficient requires x and y to be normally distributed.

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Mathematics, 26.07.2019 12:00, evanwall91

Which of the following statements are true? select all that apply. the correlation coefficient, r , is equal to the number of data points that lie on the regression line divided by the total number of data points. the correlation coefficient gives us information about the number of outliers compared to the number of data points. the correlation coefficient is a unitless number and must always lie between –1.0 and +1.0, inclusive. the correlation coefficient, r , gives us information about the strength and direction of a linear relationship between any two variables. if r is the correlation between two variables x and y then -r is the correlation between y and x . the larger r is in absolute value, the stronger the relationship is between the two variables.

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Mathematics, 18.09.2019 20:50, AWESOMEMIHI

Which of the following statements are true? select all that apply. the correlation coefficient, r, is equal to the number of data points that lie on the regression line divided by the total number of data points. the correlation coefficient gives us information about the number of outliers compared to the number of data points. the correlation coefficient is a unitless number and must always lie between –1.0 and +1.0, inclusive. the correlation coefficient, r, gives us information about the strength and direction of a linear relationship between any two variables. if r is the correlation between two variables x and y then -r is the correlation between y and x. the larger r is in absolute value, the stronger the relationship is between the two variables.

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Mathematics, 19.09.2019 11:00, terabear2033

A) the correlation coefficient, r, is equal to the number of data points that lie on the regression line divided by the total number of data points. b) the correlation coefficient gives us information about the number of outliers compared to the number of data points. c) the correlation coefficient is a unitless number and must always lie between –1.0 and +1.0, inclusive. d) the correlation coefficient, r, gives us information about the strength and direction of a linear relationship between any two variables. e) if r is the correlation between two variables x and y then -r is the correlation between y and x. f) the larger r is in absolute value, the stronger the relationship is between the two variables. which statements are correct?

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