TRUE OR FALSE:
1. When the correlation coefficient is close to -1, that means that there is no relationship between the independent variable and the dependent variable.
2. When the correlation coefficient is close to -1, that means that there is no relationship between the independent variable and the dependent variable.
3. A correlation coefficient of -0.96 would mean that the values of y decrease as the values of x increase.
1. When the correlation coefficient is close to -1, that means
that there is no relationship between the independent variable and
the dependent variable.
False, because this is strong negative correlation
2. When the correlation coefficient is close to -1, that means
that there is no relationship between the independent variable and
the dependent variable.
False
3. A correlation coefficient of -0.96 would mean that the values
of y decrease as the values of x increase.
True, because this is negative correlation
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