Lisa is not sure if m causes n, n causes m, or neither. In an attempt to come to a conclusion, she first plotted m on the x-axis, n on the y-axis, and used the linear regression feature of her graphing calculator. When she did this, she got a correlation coefficient (r) of 0.962 and a line with a slope of 2.3. She then plotted n on the x-axis, m on the y-axis, and used the linear regression feature of her graphing calculator. When she did this, she got a correlation coefficient (r) of 0.962 and a line with a slope of 0.4. Which conclusion is the most valid?

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