Bundle: Understandable Statistics: Concepts And Methods, 12th + Jmp Printed Access Card For Peck's Statistics + Webassign Printed Access Card For ... And Methods, 12th Edition, Single-term
12th Edition
ISBN: 9781337758925
Author: Charles Henry Brase, Corrinne Pellillo Brase
Publisher: Cengage Learning
expand_more
expand_more
format_list_bulleted
Concept explainers
Videos
Question
Chapter 9, Problem 7CRP
(a)
To determine
Construct a
(b)
To determine
Find the value of
Find the value of
Find the value of b.
Find the equation of the least-squares line.
Construct the line on the scatter diagram.
(c)
To determine
Find the sample
Find the value of the coefficient of determination
Mention percentage of the variation in y is explained by the least-squares model.
(d)
To determine
Check whether the claim that the population
(e)
To determine
Find the predicted weight at 30 years of age when a female baby weighs 20 pounds at 1 year.
(f)
To determine
Verify the values of
(g)
To determine
Find the 95% confidence interval for weight at age 30 of a female who weighed 20 pounds at 1 year of age.
(h)
To determine
Check whether the claim that the slope
(i)
To determine
Find a 80% confidence interval for
Interpret the confidence interval.
Expert Solution & Answer
Trending nowThis is a popular solution!
Students have asked these similar questions
Suppose two variables are under study are temperature in degrees Fahrenheit (y) and temperature in degrees centigrade (x). The
regression line for this situation is y = 9/5X +32. Assuming there is no error in observing temperature, What is the expected correlation
coefficient in this given scenario.
Answer:
A doctor collects data on all the men in his practice. Their daily potassium intake
is 4500 mg/day, with a standard deviation of 1000 mg/day. They have an average
systolic blood pressure of 150 mmHg, with a standard deviation of 10 mmHg. The
two variables have correlation r =
3.
-0.4.
(a) One of the men is at the 25 percentile of potassium intake and 75 percentile of
blood pressure. Relative to all other men at the 25th percentile potassium intake,
this man's blood pressure is (circle one)
smaller than average
about average
larger than average
Justify your answer using a written explanation and/or a diagram.
2. Given the following sets of information, find the linear least squares regression and the correlation coefficient.
Chapter 9 Solutions
Bundle: Understandable Statistics: Concepts And Methods, 12th + Jmp Printed Access Card For Peck's Statistics + Webassign Printed Access Card For ... And Methods, 12th Edition, Single-term
Ch. 9.1 - Statistical Literacy When drawing a scatter...Ch. 9.1 - Prob. 2PCh. 9.1 - Prob. 3PCh. 9.1 - Prob. 4PCh. 9.1 - Prob. 5PCh. 9.1 - Prob. 6PCh. 9.1 - Prob. 7PCh. 9.1 - Prob. 8PCh. 9.1 - Prob. 9PCh. 9.1 - Critical Thinking: Lurking Variables Over the past...
Ch. 9.1 - Prob. 11PCh. 9.1 - Prob. 12PCh. 9.1 - Prob. 13PCh. 9.1 - Health Insurance: Administrative Cost The...Ch. 9.1 - Prob. 15PCh. 9.1 - Geology: Earthquakes Is the magnitude of an...Ch. 9.1 - Prob. 17PCh. 9.1 - Prob. 18PCh. 9.1 - Prob. 19PCh. 9.1 - Prob. 20PCh. 9.1 - Prob. 21PCh. 9.1 - Prob. 22PCh. 9.1 - Prob. 23PCh. 9.1 - Prob. 24PCh. 9.2 - Statistical Literacy In the least-squares line...Ch. 9.2 - Prob. 2PCh. 9.2 - Critical Thinking When we use a least-squares line...Ch. 9.2 - Prob. 4PCh. 9.2 - Prob. 5PCh. 9.2 - Critical Thinking: Interpreting Computer Printouts...Ch. 9.2 - Prob. 7PCh. 9.2 - For Problems 718, please do the following. (a)...Ch. 9.2 - Prob. 9PCh. 9.2 - For Problems 718, please do the following. (a)...Ch. 9.2 - Prob. 11PCh. 9.2 - Prob. 12PCh. 9.2 - For Problems 718, please do the following. (a)...Ch. 9.2 - Prob. 14PCh. 9.2 - Prob. 15PCh. 9.2 - For Problems 718, please do the following. (a)...Ch. 9.2 - Prob. 17PCh. 9.2 - Prob. 18PCh. 9.2 - Prob. 19PCh. 9.2 - Residual Plot: Miles per Gallon Consider the data...Ch. 9.2 - Prob. 21PCh. 9.2 - Prob. 22PCh. 9.2 - Prob. 23PCh. 9.2 - Prob. 24PCh. 9.2 - Prob. 25PCh. 9.3 - Prob. 1PCh. 9.3 - Prob. 2PCh. 9.3 - Prob. 3PCh. 9.3 - Prob. 4PCh. 9.3 - Prob. 5PCh. 9.3 - Prob. 6PCh. 9.3 - Prob. 7PCh. 9.3 - In Problems 712, parts (a) and (b) relate to...Ch. 9.3 - Prob. 9PCh. 9.3 - Prob. 10PCh. 9.3 - In Problems 712, parts (a) and (b) relate to...Ch. 9.3 - Prob. 12PCh. 9.3 - Prob. 13PCh. 9.3 - Prob. 14PCh. 9.3 - Prob. 15PCh. 9.3 - Expand Your Knowledge: Time Series and Serial...Ch. 9.3 - Prob. 17PCh. 9.4 - Statistical Literacy Given the linear regression...Ch. 9.4 - Prob. 2PCh. 9.4 - For Problems 3-6, use appropriate multiple...Ch. 9.4 - For Problems 3-6, use appropriate multiple...Ch. 9.4 - Prob. 5PCh. 9.4 - Prob. 6PCh. 9 - Prob. 1CRPCh. 9 - Prob. 2CRPCh. 9 - Prob. 3CRPCh. 9 - Prob. 4CRPCh. 9 - Prob. 5CRPCh. 9 - Prob. 6CRPCh. 9 - Prob. 7CRPCh. 9 - Prob. 8CRPCh. 9 - Prob. 9CRPCh. 9 - Prob. 10CRPCh. 9 - Prob. 1DHCh. 9 - Prob. 1LCCh. 9 - Prob. 1UTCh. 9 - Prob. 2UTCh. 9 - Prob. 3UTCh. 9 - Prob. 4UTCh. 9 - Prob. 5UTCh. 9 - Prob. 6UTCh. 9 - Prob. 7UTCh. 9 - In Problems 16, please use the following steps (i)...Ch. 9 - Prob. 2CURPCh. 9 - Prob. 3CURPCh. 9 - Prob. 4CURPCh. 9 - Prob. 5CURPCh. 9 - Prob. 6CURPCh. 9 - Prob. 8CURPCh. 9 - Linear Regression: Blood Glucose Let x be a random...
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Similar questions
- 8. Areal estate company wants to study the relationship between Home price (in OMR 1000) and the following variables: Floor size (in 100 square feet) (X 1 ) Type of Heating (X 2 =1 if electricity and X 2 =0 , Gas, Location of home in town and X 3 =0 , if in village). Use this to answer the following questions: Then the P-value for testing Ho: B2=0 against H 1 :B 2 not =0 is A. 0.2623 B. 0.0073 C. 0.0037 D. 0.1312 E. Nonearrow_forward9. The final score (Y) of students in a course was correlated with score (CX) in entrance test. The relevant data in coded units are as follows: Y: 2 8 5n 4 2 X: 6. (a) Obtain the lincar regression equation of Y on .X. (b) Obtain the correlation coefficient and interpret it. (c) Predict Y when X = 4. If the predicted value is different from the observed value of 6. Explain the reasons for the difference.arrow_forward2arrow_forward
- O T O 4. (a) The equations of two regression lines obtained in a correlation analysis are 3X + 12Y = 19 and 3Y + 9X = 46. Obtain (i) the value of correlation coefficient, (ii) the mean values of X and Y, and (iii) the ratio of the coefficient of variability of X to that of Y. 4. (b) A market investigator returns the following data. Of 1000 people consulted 811 liked chocolates, 752 liked toffees and 418 liked boiled sweets, 570 liked both chocolates and toffees, 356 liked chocolates and boiled sweets and 348 liked toffees and boiled sweets, 297 liked all three. Show that this information as it stands must be incorrect. Filters First perodical Tesy, > Nancy IIarrow_forwardThe equation Y= α+ βx+ε describes a population regression line. Which of the statements regarding this equation is true. A. ε is the coefficient of standard deviation B. α,β are sample statistics that can be calculated by the ordinary least squares method C. α,β are usually unknown since they are population quantities D. None of the statements above are truearrow_forwardA) Compute the last-squares regression line for predicting US emission from NON US - emissions. b) If the non-US emission differ by 0.2 from one year to the next by how much would you predict the US- emission to differ?arrow_forward
- 2. The instructor of a mathematics class collected data to see whether there is a correlation between the number of absences (X) and the student's score on the final exam (Y). The number of absences and score on the final exam were recorded. The following regression equation was obtained: Final score = 92.5317 – 3.7611 (Absences) a) (5 points) What would be the predicted final exam score for a student that had 10 absences? b) (5 points) The student from part (a) actually scored a 60 on the final exam. What is the residual for this student? Show all work.arrow_forward31. From the data given below find : (a) the two regression equations. (b) the coefficient of correlation between marks in Economics and Statistics. (c) the most likely marks in Statistics when the marks in Economics are 30. 28 Marks in Economics : 25 35 32 31 36 29 38 34 32 Marks in Statistics 43 46 49 41 36 32 31 30 33 39arrow_forwardThere may be an association between a country's birthrate and the life expectancy of its inhabitants. A report this past year, coming from a random sample of 20 countries, contained the following information: the least-squares regression equation relating the two variables number of births per one thousand people (denoted by x) and female life expectancy (denoted by y and measured in years) is y = 82.28 – 0.51 x, and the standard error of the slope of this least-squares regression line is approximately 0.35. Based on this information, test for a significant linear relationship between these two variables by doing a hypothesis test regarding the population slope B,. (Assume that the variable y follows a normal distribution for each value of x and that the other regression assumptions are satisfied.) Use the 0.10 level of significance, and perform a two-tailed test. Then complete the parts below. (If necessary, consult a list of formulas.) (a) State the null hypothesis H, and the…arrow_forward
- Distress in EMSworkers. The Journal consulting and Clinical Psychology reported on a study of emergency service (EMS) rescue workers who responded to the I-880 freeway collapse during a San Francisco earthquake. The goal of the study was to identify the predictors of symptomatic distress in the EMS workers. One of the distress variables studied was the Global Symptom Index (GSI). Several models for GSI, y, were considered based on the following independent variables: x1 = Critical Incident Exposure scale (CIE) x2 = Hogan Personality Inventory—Adjustment scale (HPI-A) x3 = Years of experience (EXP) x4 = Locus of Control scale (LOC) x5 = Social Support scale (SS) x6 = Dissociative Experiences scale (DES) x7 = Peritraumatic Dissociation Experiences Questionnaire, self-report (PDEQ-SR) (a) Write a first-order model for E(y) as a function of the first five independent variables, x1 –x5. (b) The model of part a, fitted to data collected for n = 147 EMS workers, yielded the following results:…arrow_forward3. The following model is a simplified version of the multiple regression model used by BEST Econometrics Group to study the trade off between time spent sleeping and working to look at other factors affecting sleep: sleep %3D Bo + Вitotwrk + Bzeduc + Bзадe + M, where sleep and totwork (total work) are measure in minutes per week and educ and age are measured in years. (i) If adults trade sleep for work, what is the sign of B,? (ii) What signs do you think B2 and B3 wilI have? (iii) Using the data in SLEEP75.RAW, the estimated equation is sleep — 3, 638.25—.148totwrk — 11.13educ — 2.20аge, п %3 706, R? =. 113 - If someone works five hours per week, by how manu minutes is sleep predicte d to fall? Is this a large tradeoff? (iv) Discuss the sign and magnitude of the estimated coefficient on educ. (v) Would you say totwrk, educ, and age explain much of the variation in sleep? What other factors might affect the time spent sleeping? Are these likely to be correlated with totwrk?arrow_forwardA weight-loss program wants to test how well their program is working. The company selects a simple random sample of 51 individual that have been using their program for 15 months. For each individual person, the company records the individual's weight when they started the program 15 months ago as an x-value. The subject's current weight is recorded as a y-value. Therefore, a data point such as (205, 190) would be for a specific person and it would indicate that the individual started the program weighing 205 pounds and currently weighs 190 pounds. In other words, they lost 15 pounds. When the company performed a regression analysis, they found a correlation coefficient of r = 0.707. This clearly shows there is strong correlation, which got the company excited. However, when they showed their data to a statistics professor, the professor pointed out that correlation was not the right tool to show that their program was effective. Correlation will NOT show whether or not there is…arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Linear Algebra: A Modern IntroductionAlgebraISBN:9781285463247Author:David PoolePublisher:Cengage Learning
Functions and Change: A Modeling Approach to Coll...AlgebraISBN:9781337111348Author:Bruce Crauder, Benny Evans, Alan NoellPublisher:Cengage Learning
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
Correlation Vs Regression: Difference Between them with definition & Comparison Chart; Author: Key Differences;https://www.youtube.com/watch?v=Ou2QGSJVd0U;License: Standard YouTube License, CC-BY
Correlation and Regression: Concepts with Illustrative examples; Author: LEARN & APPLY : Lean and Six Sigma;https://www.youtube.com/watch?v=xTpHD5WLuoA;License: Standard YouTube License, CC-BY