Which of the following is not a requirement in determining whether there is a linear correlation between two variables? choose the correct answer below.
a. any outliers must be removed if they are known to be errors.
b. a scatterplot should visually show a straight-line pattern.
c. the sample of paired data is a simple random sample of quantitative data.
d. if rgreater than1,then there is a positive linear correlation.

Option d is right

Step-by-step explanation:

We know that a linear correlation is a measure of association between two variables dependent and independent variable.  r always lies between -1 and 1 both inclusive.  If r is nearer to 0 weak correlation and if |r| is near to 1 there is a stronger correlation.

Positive sign of r implies positive association and negative r implies negative association.

Hence out of the four options given about correlation we have

Option a is right because removal of outliers confirm accurate correlation

Option B is right because only if linear pattern is visible, correlation will be right

Option C is right because only for numerical data r can be calculated

Option d is wrong because correlation lies always between -1 and 1 both inclusive.

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step-by-step explanation: