Is it appropriate to use a regression line to predict ? y-values for ? x-values

Question

Is it appropriate to use a regression line to predict? y-values for? x-values that are not in? (or close? to) the range of? x-values found in the? data? Choose the correct answer below. A. It is not appropriate because the correlation coefficient of the regression line may not be significant. B. It is appropriate because the regression line models a? trend, not the actual? points, so although the prediction of the? y-value may not be exact it will be precise.?? C. It is appropriate because the regression line will always be? continuous, so a? y-value exists for every? x-value on the axis. D. It is not appropriate because the regression line models the trend of the given? data, and it is not known if the trend continues beyond the range of those data. Is it appropriate to use a regression line to predict? y-values for? x-values that are not in? (or close? to) the range of? x-values found in the? data? Choose the correct answer below. A. It is not appropriate because the correlation coefficient of the regression line may not be significant. B. It is appropriate because the regression line models a? trend, not the actual? points, so although the prediction of the? y-value may not be exact it will be precise.?? C. It is appropriate because the regression line will always be? continuous, so a? y-value exists for every? x-value on the axis. D. It is not appropriate because the regression line models the trend of the given? data, and it is not known if the trend continues beyond the range of those data. Is it appropriate to use a regression line to predict? y-values for? x-values that are not in? (or close? to) the range of? x-values found in the? data? Is it appropriate to use a regression line to predict? y-values for? x-values that are not in? (or close? to) the range of? x-values found in the? data? Is it appropriate to use a regression line to predict? y-values for? x-values that are not in? (or close? to) the range of? x-values found in the? data? Choose the correct answer below. A. It is not appropriate because the correlation coefficient of the regression line may not be significant. B. It is appropriate because the regression line models a? trend, not the actual? points, so although the prediction of the? y-value may not be exact it will be precise.?? C. It is appropriate because the regression line will always be? continuous, so a? y-value exists for every? x-value on the axis. D. It is not appropriate because the regression line models the trend of the given? data, and it is not known if the trend continues beyond the range of those data. Choose the correct answer below. A. It is not appropriate because the correlation coefficient of the regression line may not be significant. B. It is appropriate because the regression line models a? trend, not the actual? points, so although the prediction of the? y-value may not be exact it will be precise.?? C. It is appropriate because the regression line will always be? continuous, so a? y-value exists for every? x-value on the axis. D. It is not appropriate because the regression line models the trend of the given? data, and it is not known if the trend continues beyond the range of those data. Choose the correct answer below. A. It is not appropriate because the correlation coefficient of the regression line may not be significant. B. It is appropriate because the regression line models a? trend, not the actual? points, so although the prediction of the? y-value may not be exact it will be precise.?? C. It is appropriate because the regression line will always be? continuous, so a? y-value exists for every? x-value on the axis. D. It is not appropriate because the regression line models the trend of the given? data, and it is not known if the trend continues beyond the range of those data. A. It is not appropriate because the correlation coefficient of the regression line may not be significant. B. It is appropriate because the regression line models a? trend, not the actual? points, so although the prediction of the? y-value may not be exact it will be precise.?? C. It is appropriate because the regression line will always be? continuous, so a? y-value exists for every? x-value on the axis. D. It is not appropriate because the regression line models the trend of the given? data, and it is not known if the trend continues beyond the range of those data. A. It is not appropriate because the correlation coefficient of the regression line may not be significant. A. It is not appropriate because the correlation coefficient of the regression line may not be significant. It is not appropriate because the correlation coefficient of the regression line may not be significant. B. It is appropriate because the regression line models a? trend, not the actual? points, so although the prediction of the? y-value may not be exact it will be precise.?? B. It is appropriate because the regression line models a? trend, not the actual? points, so although the prediction of the? y-value may not be exact it will be precise.?? It is appropriate because the regression line models a? trend, not the actual? points, so although the prediction of the? y-value may not be exact it will be precise.?? C. It is appropriate because the regression line will always be? continuous, so a? y-value exists for every? x-value on the axis. C. It is appropriate because the regression line will always be? continuous, so a? y-value exists for every? x-value on the axis. It is appropriate because the regression line will always be? continuous, so a? y-value exists for every? x-value on the axis. D. It is not appropriate because the regression line models the trend of the given? data, and it is not known if the trend continues beyond the range of those data. D. It is not appropriate because the regression line models the trend of the given? data, and it is not known if the trend continues beyond the range of those data. It is not appropriate because the regression line models the trend of the given? data, and it is not known if the trend continues beyond the range of those data.

Explanation / Answer

The regression line is not appropriate for the predicting data that is beyond the range of data used to develop the model.

Correct option is D.

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