Question

The correlation is inappropriate as a measure of association between two quantitative variables (you may select one or more responses):

1.) When different people measure the variables using different units.

2.) When y tends to decrease as x increases.

3.) When the relationship is highly nonlinear.

4.) When the data points fall exactly on a straight line.

5.) When we have data for the entire population rather than a sample.

6.) When the slope of the prediction equation is 0 using nearly all the data, but a couple of outliers are extremely high on y at the high end of the x scale.

7.) When the sample has a much narrower range of x-values than does the population.

Answer 1

From the given

The correlation is inappropriate as a measure of association between the two quantitative variables when

1)when relationship is highly non-linear becouse when relationship is highly non-linear then correlation is not significant.

2)when the slope of prediction equation is 0 using nearly all the data but couple of outliers are extremely high on y at end of x scale becouse when slope ia zero then there is no linear relationship.