John creates a regression line for his data and then plots the residuals. the residual plot looks like a quadratic function. what does this mean? a) a pattern in the residuals has no meaning. b) that the original data forms a quadratic pattern. c) that his regression equation is a quadratic function. d) that the regression equation is not a good fit for the data.

Based on the information given regarding the regression line, the correct option is D. That the regression equation is not a good fit for the data.

A regression line simply means a single line that best fits the data. It should be noted that the formula for the regression line is y = mx + b.

Based on the question asked, since the residual plot looks like a quadratic function, it means that the regression equation is not a good fit for the data.

If the regression line is a good fit for the model, there'll be no pattern in the residual. In this case, since there is a residual, it means that the regression equation is not a good fit for the data.

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answer: 2 answers

step-by-step explanation: the first one means to spread the product throughout the marketplace such that a large number of people can buy it.  

the second means the process of making a product or service available for the consumer or business user that needs it.

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