Which of the following is not a requirement for regression analysis? Choose the correct answer below. A. The sample of paired (x, y) data is a random sample of quantitative data. B. Visual examination of the scatterplot shows that the points approximate a straight-line pattern. C. Outliers can have a strong effect on the regression equation, so remove any outliers if they are known to be errors. D. The method for regression analysis line is not robust. It is seriously affected by a small departure from a normal distribution.

D. The method for regression analysis line is not robust. It is seriously affected by a small departure from a normal distribution.

Step-by-step explanation:

Regression analysis can be defined as one of the techniques or tools that is used in statistics.

It is a statistical tool, method or technique that is used to determine or find out what the relationship between an independent and dependent variable is.

In order to be able to carry of regression analysis, the following things must be considered.

a. The sample of paired (x,y) data must be a random sample of quantitative data.

b. Visual examination of the scatterplot shows that the points approximate a straight-line pattern.

c. Values that are different from the data points you have also known as outliers can have a strong effect or impact on the regression equation, so its is important to find, determine and remove any outliers if they are known to be errors.

And example of regression analysis is called linear regression.

This can be valuated using the formula:

Y= a + bX,

where:

Y is the dependent variable which is plotted or drawn on the Y axis),

X is the independent variable which is plotted or drawn on the X axis

b is the slope of the line

a is the y-intercept.