True or false: The Pearson's correlation coefficient of +0.4 shows a stronger linear association than a correlation coefficient of -0.4
True or false: If the value of the Pearson's correlation coefficient between two variables is equal to -0.7, it means that 49% of the variability in one variable can be explained by the other.
Solution :
1)
False
The Pearson's correlation coefficient of +0.4 shows a same linear association than a correlation coefficient of -0.4
2)
True
R square = (-0.7)2 = 0.49
True or false: The Pearson's correlation coefficient of +0.4 shows a stronger linear association than a...
Use the value of the linear correlation coefficient to find the coefficient of determination and the percentage of the total variation that can be explained by the near relationship between the two variables r=0.316 What is the value of the coefficient of determination? 7- (Round to four decimal places as needed.) What is the percentage of the total variation that can be explained by the linear relationship between the two variables? Explained variation - (Round to two decimal places as...
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