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)=
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)=
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 31PPS
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Concept explainers
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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