The table lists the Consumer Price Index for all U.S. urban consumers (CPI-U) with 1982-1984 = 100 for selected years between 1960 and 2008 Consumer Price Index for All U.S. Urban Consumers 1982-1984 = 100 Year CPI-U, C 1960 29.6 1970 38.8 82.4 1980 130.7 1990 2000 172.2 2005 195.3 2008 215.3 (a) Align the input data to the number of years since 1960. Which model type other than quadratic might be considered when modeling this data? Why? OThe increasing, concave up scatter plot of this data suggests a quadratic or an logarithmic function. OThe increasing, concave up scatter plot of this data suggests a quadratic or an exponential function OThe increasing, concave down scatter plot of this data suggests a quadratic or an logarithmic function. OThe increasing, concave down scatter plot of this data suggests a quadratic or an exponential function (b) Use the end behavior to choose the better model. O quadratic logarithmic exponential 100 for 1982-1984) for all U.S. urban consumers, where t is the number of years since 1960, with data from 0 sts 48. (Round all numerical values to three decimal places.) Write the function for the better model that gives the CPI (based on a CPI 0.0385x1=2.1462r + 24.089X C(t)=

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Chapter10: Statistics
Section10.6: Summarizing Categorical Data
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The table lists the Consumer Price Index for all U.S. urban consumers (CPI-U) with 1982-1984 = 100 for selected years between 1960 and 2008
Consumer Price Index for All U.S.
Urban Consumers
1982-1984 = 100
Year
CPI-U, C
1960
29.6
1970
38.8
82.4
1980
130.7
1990
2000
172.2
2005
195.3
2008
215.3
(a) Align the input data to the number of years since 1960. Which model type other than quadratic might be considered when modeling this data? Why?
OThe increasing, concave up scatter plot of this data suggests a quadratic or an logarithmic function.
OThe increasing, concave up scatter plot of this data suggests a quadratic or an exponential function
OThe increasing, concave down scatter plot of this data suggests a quadratic or an logarithmic function.
OThe increasing, concave down scatter plot of this data suggests a quadratic or an exponential function
(b) Use the end behavior to choose the better model.
O quadratic
logarithmic
exponential
100 for 1982-1984) for all U.S. urban consumers, where t is the number of years since 1960, with data from 0 sts 48. (Round all numerical values to three decimal places.)
Write the function for the better model that gives the CPI (based on a CPI
0.0385x1=2.1462r + 24.089X
C(t)=
Transcribed Image Text:The table lists the Consumer Price Index for all U.S. urban consumers (CPI-U) with 1982-1984 = 100 for selected years between 1960 and 2008 Consumer Price Index for All U.S. Urban Consumers 1982-1984 = 100 Year CPI-U, C 1960 29.6 1970 38.8 82.4 1980 130.7 1990 2000 172.2 2005 195.3 2008 215.3 (a) Align the input data to the number of years since 1960. Which model type other than quadratic might be considered when modeling this data? Why? OThe increasing, concave up scatter plot of this data suggests a quadratic or an logarithmic function. OThe increasing, concave up scatter plot of this data suggests a quadratic or an exponential function OThe increasing, concave down scatter plot of this data suggests a quadratic or an logarithmic function. OThe increasing, concave down scatter plot of this data suggests a quadratic or an exponential function (b) Use the end behavior to choose the better model. O quadratic logarithmic exponential 100 for 1982-1984) for all U.S. urban consumers, where t is the number of years since 1960, with data from 0 sts 48. (Round all numerical values to three decimal places.) Write the function for the better model that gives the CPI (based on a CPI 0.0385x1=2.1462r + 24.089X C(t)=
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