In model 2, the probability plot of the residuals looks like this: What should w

Question

In model 2, the probability plot of the residuals looks like this:

What should we conclude?

Question 6 options:

The data satisfies the assumptions of the regression model since most of the points lie on the blue line.

The data satisfies the assumptions of the regression line because there is a clear pattern in the residuals.

The data does not satisfy the assumptions of the regression model because the residuals clearly do not have a mean of zero.

The data does not satisfy the assumptions of the regression model because the residuals clearly do not have a normal distribution.

A)

The data satisfies the assumptions of the regression model since most of the points lie on the blue line.

B)

The data satisfies the assumptions of the regression line because there is a clear pattern in the residuals.

C)

The data does not satisfy the assumptions of the regression model because the residuals clearly do not have a mean of zero.

D)

The data does not satisfy the assumptions of the regression model because the residuals clearly do not have a normal distribution.

Explanation / Answer

Here, the plot is concave down, so the data is skewed left.

Hence, it is not normally distributed, so

OPTION D: The data does not satisfy the assumptions of the regression model because the residuals clearly do not have a normal distribution. [ANSWER, D]

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