EBK ELEMENTARY STATISTICS USING EXCEL
7th Edition
ISBN: 9780136937401
Author: Triola
Publisher: VST
expand_more
expand_more
format_list_bulleted
Question
Chapter 1.1, Problem 27BSC
To determine
To explain: If the source of the given data appears to be biased in any way.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solutionStudents have asked these similar questions
an attempt to develop a model of wine quality as judged by wine experts, data on alcohol content and wine quality was collected from variants of a particular wine. From a sample of 12wines, a model was created using the percentages of alcohol to predict wine quality. For those data, SR=18,671 and SST=27,382.Use this information to complete parts (a) through (c) below. Please complete part 3(B) ONLY.
Question content area bottom
Part 1
a. Determine the coefficient of determination,
r2,
and interpret its meaning.
r2=0.682
(Round to three decimal places as needed.)
Part 2
Interpret the meaning of r2.
It means that
68.2
of the variation in
wine quality
can be explained by the variation in
alcohol content.
(Round to one decimal place as needed.)
Part 3
b. Determine the standard error of the estimate.
SYX=
(Round to four decimal places as needed.)
Q5 a) Demographic data from 126 countries is obtained for the year 2017. It is hypothesized
that life expectancy (Y) is dependent on number of under five deaths (X2) , polio
immunization coverage (D), Per capita Govt. Exp. on Health Care (X3) (in Rs crores),
Per Capita GNI (in Rs crores) (X4) and Average number of years of Schooling (Xs).
Polio immunization coverage =1 if yes and 0 otherwise. Following regressions were
estimated:
MODEL 1:
= 0.903 – 0.561X2¡ + 2.008 X3i + 0.553X4¿ + 0.778 X5i + 3.638 D
(0.405)
se =
(1.280)
(0.765)
(0.712)
(0.491)
R? = 0.787
RSS = 1339.8
MODEL 2:
P, = 1.379 + 0.594 X31 + 2.139 D
se =
(0.406) (0.465)
R? = 0.677
RSS = 1567.28
i. Is it a time series or a cross sectional data
ii. Show model 2 is a restricted version of model 1 and what is the restriction?
iii. Test for the statistical significance of the restriction at 5% level.
iv. Construct a 95% confidence interval for true per capita government health
expenditure in model II and check whether it is…
Please, give me answer immediatly.
Chapter 1 Solutions
EBK ELEMENTARY STATISTICS USING EXCEL
Ch. 1.1 - Prob. 1BSCCh. 1.1 - 2. Reported Versus Measured In a survey of 1046...Ch. 1.1 - 3. Statistical Significance Versus Practical...Ch. 1.1 - Prob. 4BSCCh. 1.1 - Prob. 5BSCCh. 1.1 - Prob. 6BSCCh. 1.1 - Consider the Source. In Exercises 5–8, determine...Ch. 1.1 - Consider the Source. In Exercises 5–8, determine...Ch. 1.1 - Sampling Method. In Exercises 9–12, determine...Ch. 1.1 - Sampling Method. In Exercises 9–12, determine...
Ch. 1.1 - Prob. 11BSCCh. 1.1 - Prob. 12BSCCh. 1.1 - Prob. 13BSCCh. 1.1 - Prob. 14BSCCh. 1.1 - Prob. 15BSCCh. 1.1 - Statistical Significance and Practical...Ch. 1.1 - Prob. 17BSCCh. 1.1 - Prob. 18BSCCh. 1.1 - Prob. 19BSCCh. 1.1 - Prob. 20BSCCh. 1.1 - Prob. 21BSCCh. 1.1 - Prob. 22BSCCh. 1.1 - Prob. 23BSCCh. 1.1 - Prob. 24BSCCh. 1.1 - Prob. 25BSCCh. 1.1 - Prob. 26BSCCh. 1.1 - Prob. 27BSCCh. 1.1 - Prob. 28BSCCh. 1.1 - Prob. 29BSCCh. 1.1 - What’s Wrong? In Exercises 25–28, identify what is...Ch. 1.1 - What’s Wrong? In Exercises 25–28, identify what is...Ch. 1.1 - Prob. 32BSCCh. 1.1 - Prob. 33BSCCh. 1.1 - Prob. 34BSCCh. 1.1 - Prob. 35BSCCh. 1.1 - Prob. 36BSCCh. 1.1 - Prob. 37BSCCh. 1.1 - 30. Checking Job Applicants In a study conducted...Ch. 1.1 - Prob. 39BSCCh. 1.1 - Prob. 40BSCCh. 1.1 - Prob. 41BSCCh. 1.1 - Prob. 42BSCCh. 1.1 - Prob. 43BSCCh. 1.1 - Prob. 44BSCCh. 1.1 - Prob. 45BBCh. 1.1 - Prob. 46BBCh. 1.1 - Prob. 47BBCh. 1.2 - Prob. 1BSCCh. 1.2 - Prob. 2BSCCh. 1.2 - Prob. 3BSCCh. 1.2 - Prob. 4BSCCh. 1.2 - Prob. 5BSCCh. 1.2 - Prob. 6BSCCh. 1.2 - Prob. 7BSCCh. 1.2 - Prob. 8BSCCh. 1.2 - Prob. 9BSCCh. 1.2 - Prob. 10BSCCh. 1.2 - Prob. 11BSCCh. 1.2 - Prob. 12BSCCh. 1.2 - Prob. 13BSCCh. 1.2 - Prob. 14BSCCh. 1.2 - Prob. 15BSCCh. 1.2 - Prob. 16BSCCh. 1.2 - Prob. 17BSCCh. 1.2 - In Exercises 13–20, determine whether the data are...Ch. 1.2 - Prob. 19BSCCh. 1.2 - In Exercises 13–20, determine whether the data are...Ch. 1.2 - Prob. 21BSCCh. 1.2 - Prob. 22BSCCh. 1.2 - In Exercises 21–28, determine which of the four...Ch. 1.2 - Prob. 24BSCCh. 1.2 - In Exercises 21–28, determine which of the four...Ch. 1.2 - Prob. 26BSCCh. 1.2 - Prob. 27BSCCh. 1.2 - In Exercises 21–28, determine which of the four...Ch. 1.2 - Prob. 29BSCCh. 1.2 - Prob. 30BSCCh. 1.2 - Prob. 31BSCCh. 1.2 - Prob. 32BSCCh. 1.2 - Prob. 33BBCh. 1.2 - Prob. 34BBCh. 1.3 - Prob. 1BSCCh. 1.3 - Prob. 2BSCCh. 1.3 - Prob. 3BSCCh. 1.3 - Prob. 4BSCCh. 1.3 - Prob. 5BSCCh. 1.3 - Prob. 6BSCCh. 1.3 - Prob. 7BSCCh. 1.3 - Prob. 8BSCCh. 1.3 - Prob. 9BSCCh. 1.3 - In Exercises 9–20, identify which of these types...Ch. 1.3 - In Exercises 9–20, identify which of these types...Ch. 1.3 - Prob. 12BSCCh. 1.3 - Prob. 13BSCCh. 1.3 - In Exercises 9–20, identify which of these types...Ch. 1.3 - Prob. 15BSCCh. 1.3 - In Exercises 9–20, identify which of these types...Ch. 1.3 - In Exercises 9–20, identify which of these types...Ch. 1.3 - In Exercises 9–20, identify which of these types...Ch. 1.3 - In Exercises 9–20, identify which of these types...Ch. 1.3 - In Exercises 9–20, identify which of these types...Ch. 1.3 - Critical Thinking: What’s Wrong? In Exercises...Ch. 1.3 - Critical Thinking: What’s Wrong? In Exercises...Ch. 1.3 - Critical Thinking: What’s Wrong? In Exercises...Ch. 1.3 - Prob. 24BSCCh. 1.3 - Prob. 25BSCCh. 1.3 - Prob. 26BSCCh. 1.3 - Prob. 27BSCCh. 1.3 - Prob. 28BSCCh. 1.3 - Prob. 29BBCh. 1.3 - Prob. 30BBCh. 1.3 - Prob. 31BBCh. 1.3 - Prob. 32BBCh. 1.3 - Prob. 33BBCh. 1.3 - Prob. 34BBCh. 1.3 - Prob. 35BBCh. 1.3 - Prob. 36BBCh. 1.3 - Prob. 37BBCh. 1.4 - Prob. 1BSCCh. 1.4 - Prob. 2BSCCh. 1.4 - Prob. 3BSCCh. 1.4 - Prob. 4BSCCh. 1.4 - Prob. 5BSCCh. 1.4 - Prob. 6BSCCh. 1.4 - Prob. 7BSCCh. 1.4 - Prob. 8BSCCh. 1.4 - Prob. 9BSCCh. 1.4 - Prob. 10BSCCh. 1.4 - Prob. 11BSCCh. 1.4 - Prob. 12BSCCh. 1.4 - Prob. 13BBCh. 1.4 - Prob. 14BBCh. 1 - Prob. 1CQQCh. 1 - Prob. 2CQQCh. 1 - Prob. 3CQQCh. 1 - Prob. 4CQQCh. 1 - Prob. 5CQQCh. 1 - Prob. 6CQQCh. 1 - Prob. 7CQQCh. 1 - Prob. 8CQQCh. 1 - Prob. 9CQQCh. 1 - Prob. 10CQQCh. 1 - Prob. 1RECh. 1 - Prob. 2RECh. 1 - Prob. 3RECh. 1 - Prob. 4RECh. 1 - Prob. 5RECh. 1 - Prob. 6RECh. 1 - Prob. 7RECh. 1 - Prob. 8RECh. 1 - Prob. 9RECh. 1 - Prob. 10RECh. 1 - Prob. 1CRECh. 1 - Prob. 2CRECh. 1 - Prob. 3CRECh. 1 - Prob. 4CRECh. 1 - Prob. 5CRECh. 1 - Prob. 6CRECh. 1 - Prob. 7CRECh. 1 - Prob. 8CRECh. 1 - Prob. 9CRECh. 1 - Prob. 10CRECh. 1 - Prob. 11CRECh. 1 - Prob. 12CRECh. 1 - Prob. 1EPCh. 1 - Prob. 2EPCh. 1 - Prob. 1FDDCh. 1 - Prob. 2FDDCh. 1 - Prob. 3FDDCh. 1 - Prob. 4FDD
Knowledge Booster
Similar questions
- Urban Travel Times Population of cities and driving times are related, as shown in the accompanying table, which shows the 1960 population N, in thousands, for several cities, together with the average time T, in minutes, sent by residents driving to work. City Population N Driving time T Los Angeles 6489 16.8 Pittsburgh 1804 12.6 Washington 1808 14.3 Hutchinson 38 6.1 Nashville 347 10.8 Tallahassee 48 7.3 An analysis of these data, along with data from 17 other cities in the United States and Canada, led to a power model of average driving time as a function of population. a Construct a power model of driving time in minutes as a function of population measured in thousands b Is average driving time in Pittsburgh more or less than would be expected from its population? c If you wish to move to a smaller city to reduce your average driving time to work by 25, how much smaller should the city be?arrow_forwardWhat does the y -intercept on the graph of a logistic equation correspond to for a population modeled by that equation?arrow_forwardpls help ASAParrow_forward
- Infant Mortality Rates. In the article “Children’s Environmental Index,” the ZPG (September, 1997) provided data for 219 U.S. cities on 20 variables that measure aspects of the quality of life for children. In this exercise, we consider the relationship between infant mortality rate (1990–1994) and the following 11 predictor variables. 1. Density (population per square mile) 2. Birth rate per 1000 population (1988) 3. Percentage of births to teens (1994) 4. Physicians per 1000 population (1995) 5. Student-to-teacher ratio in schools (1993–1994) 6. Student drop-out rate (1990) 7. Unemployment rate (1995) 8. Percentage of children in poverty (1989) 9. Violent crimes per 1000 population (1995) 10. Percentage of juvenile arrests (1995) 11. Pounds of toxic releases per 1000 population (1994) We will use the data in the table on pages B-145–B-147, obtained from the article, for 50 cities chosen randomly from the 219 cities considered. Use the technology of your choice to do the following. a.…arrow_forwardM3arrow_forwardCell Phone Radiation Listed below are the measured radiation absorption rates (in W/kg) corresponding to these cell phones: iPhone 5S, BlackBerry Z30, Sanyo Vero, Optimus V, Droid Razr, Nokia N97, Samsung Vibrant, Sony Z750a, Kyocera Kona, LG G2, and Virgin Mobile Supreme. The data are from the Federal Communications Commission.arrow_forward
- The data used is from college campuses. The variables used in the analysis below include: crime, total campus crime; enroll, total enrollment; police, employed officers. Use the estimated OLS models to answer the questions below: Model A: In(crime) = -6.631 + 1.270ln(enroll), (1.034) (.110) n = 97; R² = .5804 Model B: In(crime) = -4.794 + .923ln(enroll) (.144) (1.112) n = 97; R² = .632 +.516ln(police), (.149) Using Model A, test the null hypothesis that elasticity of crime with respect to enrollment is unit elastic, i.e. equal to one (against a two-sided alternative). Calculate the t-statistic.arrow_forwardExercise 2. A study is designed to test whether there is a difference in mean daily calcium intake in adults with normal bone density and adults with osteoporosis. Adults 60 years of age with normal bone density and osteoporosis are selected at random from hospital records and invited to participate in the study. Each participant's daily calcium intake (mg) is measured based on reported food intake and supplements. The data are shown below. Normal Bone Density: 1200 1000 980 900 750 800 Osteoporosis: 890 650 1100 900 400 350 480 Do these data give statistical evidence of differences in mean calcium intake across the two groups? That is, do these data give statistical evidence that the process means, say mean(Y:RE,) and mean(Y:RE2) are different? Here, Y = daily calcium intake (mg), RE, = "Nature generates a 60-year-old with normal bone density" and RE2 ="Nature generates a 60-year-old with osteoporosis." (a) Carefully describe the target of inference. Hint: This will be a difference bw…arrow_forwardLemons and Car Crashes Listed below are annual data for various years. The data are weights (metric tons) of lemons imported from Mexico and U.S. car crash fatality rates per 100,000 population [based on data from “The Trouble with QSAR (or How I Learned to Stop Worrying and Embrace Fallacy)” by Stephen Johnson, Journal of Chemical Information and Modeling, Vol. 48, No. 1]. Lemon Imports 230 265 358 480 530 Crash Fatality Rate 15.9 15.7 15.4 15.3 14.9 Question ---- > Find the critical values of r using α = 0.05 and use test statistic r = -0.959 to determine whether there is sufficient evidence to support a claim of a linear correlation between the two variables. Group of answer choices r = ± 0.811, There is enough evidence to Support the Claim r = ± 0.878, There NOT is enough evidence to Support the Claim r = ± 0.811, There NOT is enough evidence to Support the Claim r = ± 0.878, There is enough evidence to Support the Claimarrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw HillLinear Algebra: A Modern IntroductionAlgebraISBN:9781285463247Author:David PoolePublisher:Cengage LearningFunctions and Change: A Modeling Approach to Coll...AlgebraISBN:9781337111348Author:Bruce Crauder, Benny Evans, Alan NoellPublisher:Cengage Learning
- Big Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin Harcourt
Glencoe Algebra 1, Student Edition, 9780079039897...
Algebra
ISBN:9780079039897
Author:Carter
Publisher:McGraw Hill
Linear Algebra: A Modern Introduction
Algebra
ISBN:9781285463247
Author:David Poole
Publisher:Cengage Learning
Functions and Change: A Modeling Approach to Coll...
Algebra
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Cengage Learning
Big Ideas Math A Bridge To Success Algebra 1: Stu...
Algebra
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:Houghton Mifflin Harcourt