Mathematics

Mathematics, 29.06.2019 16:10, tejasheree

Suppose y1 and y2 have correlation coefficient ρ = 0.2. what is the value of the correlation coefficient between 1 + 2y1 and 3 + 4y2

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Mathematics, 02.07.2019 08:10, aiueo946

The ages in years of 10 men and their systolic blood pressures in mm are shown inthe attached dat table with a sample correlation coefficient r of 0.906 remove the data entry for the man who is 49 and has a systolic blood pressure of 200 mm of mercury from the data set and find the new correlation coefficient. describe how this affects the correlation coefficient r the new correlation coefficient r? going from 0.906 to?

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SAT, 02.07.2019 08:10, jwjohnson20

The ages in years of 10 men and their systolic blood pressures in mm are shown inthe attached dat table with a sample correlation coefficient r of 0.906 remove the data entry for the man who is 49 and has a systolic blood pressure of 200 mm of mercury from the data set and find the new correlation coefficient. describe how this affects the correlation coefficient r the new correlation coefficient r? going from 0.906 to?

Answers: 2

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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, 15.10.2019 17:30, memorybuxton

Which of the following statements concerning the linear correlation coefficient are true? i: if the linear correlation coefficient for two variables is zero, then there is no relationship between the variables. ii: if the slope of the regression line is negative, then the linear correlation coefficient is negative. iii: the value of the linear correlation coefficient always lies between -1 and 1, inclusive. iv: a linear correlation coefficient of 0.62 suggests a stronger linear relationship than a linear correlation coefficient of -0.82

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