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Use the Following to Answer Questions

Question 58

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Use the following to answer questions :
Data were collected on the age (in years), mileage (in thousands of miles), and price (in thousands of dollars) of a random sample of used Hyundai Elantras. Output from two models are provided.
Single Predictor Model:
The regression equation is Price = 13.8 - 0.0912 Mileage
Use the following to answer questions : Data were collected on the age (in years), mileage (in thousands of miles), and price (in thousands of dollars) of a random sample of used Hyundai Elantras. Output from two models are provided. Single Predictor Model: The regression equation is Price = 13.8 - 0.0912 Mileage Two Predictor Model: The regression equation is Price = 15.2 - 0.0101 Mileage - 1.55 Age S = 1.39445 R-Sq = 89.0% R-Sq(adj) = 88.0% Analysis of Variance -A boxplot of the residuals and a scatterplot of the residuals versus the predicted values from the two predictor model are provided. Discuss whether the conditions for a multiple linear regression are reasonable by referring to the appropriate plots.
Two Predictor Model:
The regression equation is Price = 15.2 - 0.0101 Mileage - 1.55 Age
Use the following to answer questions : Data were collected on the age (in years), mileage (in thousands of miles), and price (in thousands of dollars) of a random sample of used Hyundai Elantras. Output from two models are provided. Single Predictor Model: The regression equation is Price = 13.8 - 0.0912 Mileage Two Predictor Model: The regression equation is Price = 15.2 - 0.0101 Mileage - 1.55 Age S = 1.39445 R-Sq = 89.0% R-Sq(adj) = 88.0% Analysis of Variance -A boxplot of the residuals and a scatterplot of the residuals versus the predicted values from the two predictor model are provided. Discuss whether the conditions for a multiple linear regression are reasonable by referring to the appropriate plots.
S = 1.39445 R-Sq = 89.0% R-Sq(adj) = 88.0%
Analysis of Variance
Use the following to answer questions : Data were collected on the age (in years), mileage (in thousands of miles), and price (in thousands of dollars) of a random sample of used Hyundai Elantras. Output from two models are provided. Single Predictor Model: The regression equation is Price = 13.8 - 0.0912 Mileage Two Predictor Model: The regression equation is Price = 15.2 - 0.0101 Mileage - 1.55 Age S = 1.39445 R-Sq = 89.0% R-Sq(adj) = 88.0% Analysis of Variance -A boxplot of the residuals and a scatterplot of the residuals versus the predicted values from the two predictor model are provided. Discuss whether the conditions for a multiple linear regression are reasonable by referring to the appropriate plots.
-A boxplot of the residuals and a scatterplot of the residuals versus the predicted values from the two predictor model are provided. Discuss whether the conditions for a multiple linear regression are reasonable by referring to the appropriate plots.
Use the following to answer questions : Data were collected on the age (in years), mileage (in thousands of miles), and price (in thousands of dollars) of a random sample of used Hyundai Elantras. Output from two models are provided. Single Predictor Model: The regression equation is Price = 13.8 - 0.0912 Mileage Two Predictor Model: The regression equation is Price = 15.2 - 0.0101 Mileage - 1.55 Age S = 1.39445 R-Sq = 89.0% R-Sq(adj) = 88.0% Analysis of Variance -A boxplot of the residuals and a scatterplot of the residuals versus the predicted values from the two predictor model are provided. Discuss whether the conditions for a multiple linear regression are reasonable by referring to the appropriate plots. Use the following to answer questions : Data were collected on the age (in years), mileage (in thousands of miles), and price (in thousands of dollars) of a random sample of used Hyundai Elantras. Output from two models are provided. Single Predictor Model: The regression equation is Price = 13.8 - 0.0912 Mileage Two Predictor Model: The regression equation is Price = 15.2 - 0.0101 Mileage - 1.55 Age S = 1.39445 R-Sq = 89.0% R-Sq(adj) = 88.0% Analysis of Variance -A boxplot of the residuals and a scatterplot of the residuals versus the predicted values from the two predictor model are provided. Discuss whether the conditions for a multiple linear regression are reasonable by referring to the appropriate plots.

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The boxplot is reasonably symmetric and ...

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