Drag the tiles to correct boxes to complete the pairs.
match each correlation coefficient, r, to its description.

Step-by-step explanation:

The closer the r value is to 1, the stronger the correlation between the numbers.  If r is positive, then the slope of the data points tend towards a positive, while if r is negative, then the slope of the data points tend towards a negative.  If r = .96, the value is close to 1 and is positive, so it has a strong positive correlation.  If r = -.06, the value is far from 1 and is positive, so it has a weak positive correlation.  This means that the x and y values for the data do not make sense together.  For example, if x was the temperature outside and y was the number of people wearing coats and you observed 20 people outside, a strong correlation coordinate might be (-15, 19).  This means that when the temp was -15, 19 people out of 20 will be wearing a coat, which makes sense.  If you had that only 2 people wore coats, the data together doesn't make any sense.

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