A negative relationship between two variables means that for

A negative relationship between two variables means that for the most part, as the x variable increases, the y variable increases. A correlation coefficient of -1 implies a perfect linear relationship between the variables. The strength of the linear relationship between two quantitative variables is determine by the value of The equation of the regression line used in statistics is A statistical graph of two quantitative variables is called a(n) The x variable is called the variable. The range of r is from to The sign of r and will always be the same. The regression line is called the if all the points fall on a straight line, the value of r will be Determine what the following r values mean. Calculate and interpret r^2.

Solution

 A negative relationship between two variables means that for the most part, as the x variable increases, the y variable increases. A correlation coefficient of

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