A jeweler was interested in the relationship between the weight of a diamond, in carats, and the market price of the diamond, in dollars. The jeweler selected a random sample of diamonds with the same cut and quality and recorded the weight and market price of each diamond. Required:

Draw the residual plots that provides evidence that the condition that there is a linear relationship between weight and market price has not been met.

The answer is "ski slope from left to right".

Step-by-step explanation:

It has been shown by the jeweler's value in the standardized residuals, it is clear that a linear relation is not fulfilled between mass and market price.

And you know that a normality test would be violated if a curve exists upon on remainder of a story. Because the constant variance will not be received. That violated the static hypothesis.

There B, C, D, E does have the consistent variance as seen in the figure following the linear hypothesis of equal variances however the curvature is shown by a residual plot that has not fulfilled requirements, but the direct correlation between mass and current value is not fulfilled.

dd

step-by-step explanation:

dd