1. A scatterplot of the price of one pound of Nabisco Oreo cookies versus year from 1932 through 2012 shows a distinctly curved relationship. However, the appropriate transformation for an exponential relationship of price versus year produces a linear scatterplot. Below is computer output for a regression analysis of the transformed data. Predictor Coef SE Coef Constant 5.098 -13.65 0.000 Year 0.037588 0.002581 14.56 0.000 * = 0.240663 R-Sq = 94.6% R-Sq (adj) = 94.2% %3D Which one of the following is the correct regression model for this relationship? In Price = -69.589 + 0.0376 (Year) %3D a. In Price = -69.589 + 0.0376 (InYear) %3D b. Price = -69.589 +0.0376 (Year) %3D C. In Year = -69.589 +0.0376(InPrice) Year = -69.589+0.0376 (InPrice) %D 1.
1. A scatterplot of the price of one pound of Nabisco Oreo cookies versus year from 1932 through 2012 shows a distinctly curved relationship. However, the appropriate transformation for an exponential relationship of price versus year produces a linear scatterplot. Below is computer output for a regression analysis of the transformed data. Predictor Coef SE Coef Constant 5.098 -13.65 0.000 Year 0.037588 0.002581 14.56 0.000 * = 0.240663 R-Sq = 94.6% R-Sq (adj) = 94.2% %3D Which one of the following is the correct regression model for this relationship? In Price = -69.589 + 0.0376 (Year) %3D a. In Price = -69.589 + 0.0376 (InYear) %3D b. Price = -69.589 +0.0376 (Year) %3D C. In Year = -69.589 +0.0376(InPrice) Year = -69.589+0.0376 (InPrice) %D 1.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 13PPS
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Transcribed Image Text:1. A scatterplot of the price of one pound of Nabisco Oreo cookies versus year from 1932 through 2012
shows a distinctly curved relationship. However, the appropriate transformation for an exponential
relationship of price versus year produces a linear scatterplot. Below is computer output for a
regression analysis of the transformed data.
Predictor
Coef
SE Coef
Constant
5.098 -13.65 0.000
Year
0.037588 0.002581 14.56 0.000
* = 0.240663
R-Sq = 94.6%
R-Sq (adj) = 94.2%
%3D
Which one of the following is the correct regression model for this relationship?
In Price = -69.589 + 0.0376 (Year)
%3D
a.
In Price = -69.589 + 0.0376 (InYear)
%3D
b.
Price = -69.589 +0.0376 (Year)
%3D
C.
In Year = -69.589 +0.0376(InPrice)
Year = -69.589+0.0376 (InPrice)
%D
1.
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