INTRO.+INTERMED.ALG.F/COLL....-ACCESS
6th Edition
ISBN: 9780136679219
Author: Blitzer
Publisher: PEARSON
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Chapter 3.1, Problem 93ES
(a)
To determine
To calculate: The table that shows five solutions of the given model for different values of
(b)
To determine
The graphical form of the provided equation that is present in rectangular
(c)
To determine
The percentage related to the adults who strongly believe that there is a direct connection between a college degree and the success for the year 2018. For this take the help of the graph.
(d)
To determine
The percentage related to the adults who strongly believe that there is a direct connection between a college degree and the success for the year 2018
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the table shows the percent of households with internet access for selected years from 2009 and projected through 2015.
Year
Percent of households
2009
67
2010
70
2011
72.5
2012
75
2013
76.5
2014
77.2
2015
78
Use the model to predict the percent of households with internet access in 2022.
Suppose that you are a researcher and wish to construct a linear mathematical (statistical) model
that relates the number of years and the corresponding exports (million U.S,$) of a country. The
constructed model may use to forecasts the future values. You have obtained the relevant data for
a decade during 1990 to 1999 and you have listed the data in Table 5.
Table 5. Shows the list of the amount that have earned on exports
6| 7| 8
Year No. 1| 2 | 3 | 4
10
Exports 4954 6131 | 6904| 6813 6803 8137| 8707 8320 8628 7779
(a) Construct a suitable graph that explains the relationship between the number of years and the
corresponding exports. By inspection of the graph comment on the relationships between the
number of vears and the corresponding exports.
(b) Construct a mathematical (Statistical) model by using least square method between number
of years and the corresponding sales. Also interpret the slope of the linear model to support your
comment.
(c) Forecast the value of sales by…
The November 24, 2001, issue of The Economist published economic data for 15
industrialized nations. Included were the percent changes in gross domestic product (GDP),
industrial production (IP), consumer prices (CP), and producer prices (PP) from Fall 2000
to Fall 2001, and the unemployment rate in Fall 2001 (UNEMP). An economist wants to
construct a model to predict GDP from the other variables. A fit of the model
GDP = , + P,IP + 0,UNEMP + f,CP + P,PP + €
yields the following output:
The regression equation is
GDP = 1.19 + 0.17 IP + 0.18 UNEMP + 0.18 CP – 0.18 PP
Predictor
Coef SE Coef
тР
Constant
1.18957 0.42180 2.82 0.018
IP
0.17326 0.041962 4.13 0.002
UNEMP
0.17918 0.045895 3.90 0.003
CP
0.17591 0.11365 1.55 0.153
PP
-0.18393 0.068808 -2.67 0.023
Predict the percent change in GDP for a country with IP = 0.5, UNEMP = 5.7, CP =
3.0, and PP = 4.1.
a.
b.
If two countries differ in unemployment rate by 1%, by how much would you predict
their percent changes in GDP to differ, other…
Chapter 3 Solutions
INTRO.+INTERMED.ALG.F/COLL....-ACCESS
Ch. 3.1 - Fill in the blank so that the resulting statement...Ch. 3.1 - Fill in each blank so that the resulting statement...Ch. 3.1 - Prob. 3CAVCCh. 3.1 - Prob. 4CAVCCh. 3.1 - Prob. 5CAVCCh. 3.1 - Prob. 6CAVCCh. 3.1 - Prob. 7CAVCCh. 3.1 - Prob. 8CAVCCh. 3.1 - Plot the given point in a rectangular coordinate...Ch. 3.1 - Prob. 2ES
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In Exercises 57-60, determine whether...Ch. 3.3 - Make Sense? In Exercises 57-60, determine whether...Ch. 3.3 - Prob. 61ESCh. 3.3 - Prob. 62ESCh. 3.3 - Prob. 63ESCh. 3.3 - Prob. 64ESCh. 3.3 - Prob. 65ESCh. 3.3 - Prob. 66ESCh. 3.3 - Prob. 67ESCh. 3.3 - Prob. 68ESCh. 3.3 - Prob. 69ESCh. 3.3 - Prob. 70ESCh. 3.3 - Prob. 71ESCh. 3.3 - Prob. 72ESCh. 3.3 - Prob. 73ESCh. 3.3 - Prob. 74ESCh. 3.3 - Prob. 75ESCh. 3.3 - Prob. 76ESCh. 3.3 - Prob. 77ESCh. 3.4 - Prob. 1CAVCCh. 3.4 - Prob. 2CAVCCh. 3.4 - Prob. 3CAVCCh. 3.4 - Prob. 1ESCh. 3.4 - Prob. 2ESCh. 3.4 - Prob. 3ESCh. 3.4 - Prob. 4ESCh. 3.4 - Prob. 5ESCh. 3.4 - Prob. 6ESCh. 3.4 - Prob. 7ESCh. 3.4 - Prob. 8ESCh. 3.4 - Prob. 9ESCh. 3.4 - Prob. 10ESCh. 3.4 - Prob. 11ESCh. 3.4 - Prob. 12ESCh. 3.4 - Prob. 13ESCh. 3.4 - Prob. 14ESCh. 3.4 - Prob. 15ESCh. 3.4 - Prob. 16ESCh. 3.4 - Prob. 17ESCh. 3.4 - Prob. 18ESCh. 3.4 - Prob. 19ESCh. 3.4 - Prob. 20ESCh. 3.4 - Prob. 21ESCh. 3.4 - Prob. 22ESCh. 3.4 - Prob. 23ESCh. 3.4 - Prob. 24ESCh. 3.4 - Prob. 25ESCh. 3.4 - Prob. 26ESCh. 3.4 - Prob. 27ESCh. 3.4 - Prob. 28ESCh. 3.4 - 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- In sports, we expect top athletes to get better over time. We expect future athletes to run faster, jump higher, throw farther. One thing has remained constant, however, the percent of free throws made by basketball players has stayed almost exactly the same for 50 years (Branch, 2009). For college basketball players, the percent is about 69%, while for players in the NBA (National Basketball Association) it is about 75%. (The percent in each group is also very similar between male and female basketball players.) In each case below, find the mean and standard deviation of the distribution of sample proportions of free throws made if we take random samples of the given size. a. Samples of 100 free throw shots in college basketball. b. Samples of 1000 free throw shots in college basketball. c. Samples of 100 free throw shots in NBA basketball. d. Samples of 1000 free throw shots in NBA basketball. e. What effect does increasing sample size have on the standard deviation of the…arrow_forwardAn entrepreneur who owns and operates two businesses (A and B) would like to analyze their profitability. They would like your help in the analysis. They give you the annual net profit (in thousands of $) for each business from 2008-2020. Table 1: Annual Net Profits for Businesses A and B Business Year Profit Business Year Profit 2008 -50 2008 -10 2009 57 2009 30 2010 71 2010 27 2011 64 2011 22 2012 60 2012 21 2013 50 2013 20 A 2014 41 2014 24 2015 59 2015 24 2016 71 2016 32 2017 71 2017 36 2018 74 2018 37 019 81 20 40 2020 97 2020 49 a. Suppose you want to graph the distribution of profits. Explain why using only one stem- plot might not be optimal for the analysis. b. Describe the correct stemplot to use. Generate this stemplot. Explain your steps. What can you say about the distribution from this stemplot? c. When are stemplots useful? And why is that? d. Suppose that instead of having 26 observations you have 200 observations. What graph should you generate? e. What other type of…arrow_forwardC. According to the model in part.(b) , how many Americans age 65 and over were there in 2010? Use a graphing calculator. ____ million (type an integer or a decimal rounded to one decimal place as needed)arrow_forward
- Can someone explain this from a mathematical perspective? Find a relation between the fraction of islands occupied by a species and time. There is a fixed number of islands. The distribution of the species across all islands is maintained by a balance between local extinctions and local colonization events.arrow_forwardThe ABC Company is involved in the production and selling of consumer goods, particularly beauty products such as bath soap and shampoo and had registered a positive profit growth for the last 10 years. However, the current year seems to be different from those years as the company is expecting a decline in profit; which is estimated to be about 70% below the target. The manager now is in a dilemma … asking himself/herself “What happened, why this decline in profit?” The Manager then asked the company Accountant to give him/her the data on sales and advertising cost for the last 10 years – he/she wants these data to determine whether the company can live without advertising, as advertising cost happens to be substantial. Justify your answer by doing as step-by-step procedure in Correlation Analysis using a 0.05 level of significance. The data are as follows –arrow_forwardPlease give correct answer ASAP.arrow_forward
- what is the variable of interest in the question? How many levels does it have and what are they?arrow_forwardThe following data table gives information about the change in smartphone sales of two leading companies from 2007 to 2017. Company Smartphones sold in 2007 Smartphones sold in 2017 Smartphones sold in 2027 Apple 2.3 million 214.9 million ? Samsung 435.5 million 321.3 million ? The number of smartphones sold is changing for these companies every year. Suppose that over the next 10 years, from 2017 to 2027, their absolute rates of change of smartphone sales remains the same as the previous 10 years. Using the data table, determine which of the following statements would be true? a. Apple and Samsung will sell approximately the same number of smartphones in 2027. b. Samsung will sell more smartphones that Apple in 2027. c. Apple will sell over 400 million smartphones in 2027. d. Samsung will sell over 400 million smartphones in 2027.arrow_forwardTable #2.3.7 contains the value of the house and the amount of rental income in a year that the house brings in ("Capital and rental," 2013). Create a scatter plot and state if there is a relationship between the value of the house and the annual rental income. Table #2.3.7: Data of House Value versus Rental Value Rental Value Rental Value Rental Value Rental 81000 6656 77000 4576 75000 7280 67500 6864 95000 7904 94000 8736 90000 6240 85000 7072 121000 12064 115000 7904 110000 7072 104000 7904 135000 8320 130000 9776 126000 6240 125000 7904 145000 8320 140000 9568 140000 9152 135000 7488 165000 13312 165000 8528 155000 7488 148000 8320 178000 11856 174000 10400 170000 9568 170000 12688 200000 12272 200000 10608 194000 11232 190000 8320 214000 8528 208000 10400 200000 10400 200000 8320 240000 10192…arrow_forward
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