Modern Business Statistics with Microsoft Office Excel (with XLSTAT Education Edition Printed Access Card) (MindTap Course List)
6th Edition
ISBN: 9781337115186
Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran
Publisher: Cengage Learning
expand_more
expand_more
format_list_bulleted
Concept explainers
Videos
Textbook Question
Chapter 15.7, Problem 32E
Consider a regression study involving a dependent variable y, a quantitative independent variable x1, and a categorical independent variable with two levels (level 1 and level 2).
- a. Write a multiple regression equation relating x1 and the categorical variable to y.
- b. What is the
expected value of y corresponding to level 1 of the categorical variable? - c. What is the expected value of y corresponding to level 2 of the categorical variable?
- d. Interpret the parameters in your regression equation.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
which of the following individuals is likely to be excluded from a clinical trial?
a-individual with other diseases besides the disease of interest
b-an individual whose data is considered to be an outlier
c-an individual of who is considered to be a minority
d-an individual who will have difficulty complying trial protocols.
When results are not statistically significant, why do you conclude that it is plausible that the two variables are independent rather than concluding that the variables are different independent?
Again, since the DM is statistically savvy, he is resolved to confront the player only if he can establish that the player rolled a mean score significantly higher than the expected mean at the .05 significance level. Based on this, does he have evidence that the player may have cheated?
Problem 2: A market researcher recently sent out a survey to determine if the percentage of adults who use social media has changed from 68%, which was the
percentage of adults who used social media seven years ago. She found that of the 467 people who responded to survey, 336 stated that they currently use social media. At the .02 significance level, do we have evidence that that the percentage of adults who use social media has changed?
Chapter 15 Solutions
Modern Business Statistics with Microsoft Office Excel (with XLSTAT Education Edition Printed Access Card) (MindTap Course List)
Ch. 15.2 - 1. The estimated regression equation for a model...Ch. 15.2 - Consider the following data for a dependent...Ch. 15.2 - Prob. 3ECh. 15.2 - 4. A shoe store developed the following estimated...Ch. 15.2 - The owner of Showtime Movie Theaters, Inc. would...Ch. 15.2 - NFL Winning Percentage. The National Football...Ch. 15.2 - Prob. 7ECh. 15.2 - Scoring Cruise Ships. The Condé Nast Traveler Gold...Ch. 15.2 - The Professional Golfers Association (PGA)...Ch. 15.2 - Baseball Pitcher Performance. Major League...
Ch. 15.3 - 11. In exercise 1, the following estimated...Ch. 15.3 - 12. In exercise 2, 10 observations were provided...Ch. 15.3 - Prob. 13ECh. 15.3 - Prob. 14ECh. 15.3 - 15. In exercise 5, the owner of Showtime Movie...Ch. 15.3 - Prob. 16ECh. 15.3 - In part (d) of exercise 9, data contained in the...Ch. 15.3 - Prob. 18ECh. 15.5 - In exercise 1, the following estimated regression...Ch. 15.5 - Prob. 20ECh. 15.5 - Prob. 21ECh. 15.5 - Prob. 22ECh. 15.5 - Testing Significance in Theater Revenue. Refer to...Ch. 15.5 - Testing Significance in Predicting NFL Wins. The...Ch. 15.5 - The Condé Nast Traveler Gold List provides ratings...Ch. 15.5 - Prob. 26ECh. 15.6 - Prob. 27ECh. 15.7 - 32. Consider a regression study involving a...Ch. 15.7 - Prob. 33ECh. 15.7 - 34. Management proposed the following regression...Ch. 15.7 - Repair Time. Refer to the Johnson Filtration...Ch. 15.7 - Prob. 36ECh. 15.7 - Prob. 37ECh. 15.8 - Prob. 40ECh. 15.8 - Exercise 5 gave the following data on weekly gross...Ch. 15.8 - The following table reports the price, horsepower,...Ch. 15 - 49. The admissions officer for Clearwater College...Ch. 15 - The personnel director for Electronics Associates...Ch. 15 - Prob. 46SECh. 15 - Recall that in exercise 44, the admissions officer...Ch. 15 - Recall that in exercise 45 the personnel director...Ch. 15 - Fortune magazine publishes an annual list of the...Ch. 15 - The Department of Energy and the U.S....Ch. 15 - The Tire Rack, an online distributor of tires and...Ch. 15 - The National Basketball Association (NBA) records...Ch. 15 - Consumer Research, Inc., is an independent agency...Ch. 15 - Matt Kenseth won the 2012 Daytona 500, the most...Ch. 15 - When trying to decide what car to buy, real value...
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
- Consider a regression study involving a dependent variable y, a quantitative independent variable x 1 , and a categorical independent variable with three possible levels (level 1, level 2, and level 3). How many dummy variables are required to represent the categorical variable? Write a multiple regression equation relating and the categorical variable to y. Interpret the parameters in your regression equation.arrow_forwardSuppose you estimated the relationship between the exam scores and class sizes. score^ = b0 + b1*Size + e^ Based on the OLS estimate, you obtain the following standard errors and parameter estimates: b0= 95; se(b0) = 30 ; b1= −1.2; se(b1 ) = 0.4 ; n = 25 a) What kind of relationship exist between the exam scores and the clas sizes? Interpret the regression. b) Conduct the following hypothesis test at the 1% significance level: H0 : b1 ≥ 0 H1 : b1 < 0 In your answer draw the distribution of the test statistic that you use, and clearly define the rejection region(s), indicating the critical value(s).arrow_forwardA research group is interested in the relationship between exposure to mold in households after a major hurricane and the onset of acute respiratory illness in children. Suppose an observational study is conducted over 10 years following the natural disaster and the following two-by-two table was created in order to address the relationship between exposure and outcome. Acute Respiratory Illness No Acute Respiratory Illness Total Mold 378 156 534 No Mold 73 260 333 Total 451 416 867 Calculate the incidence of acute respiratory illness in the exposed and unexposed. Calculate the relative risk for ARI due to exposure in this study Interpret your findings from part Barrow_forward
- If a treatment is expected to decrease scores on a variable for which the mean is expected to be u=50,What is the null hypothesis?arrow_forwardScenario 4. A researcher wants to see if there is an association between the number of hours high school students spend playing sports and their self-esteem. What is the most appropriate test statistic to use to test the hypothesis in scenario 4? A) One-way ANOVA B) Dependent samples t-Test C) Z-score D)P-test E) Regression Analysis F) Correlation Coefficient G) One sample z-Test H) F-test I) Independent samples t-Test What is the independent variable for scenario 4? A) Self esteem B) The time spent doing other activities C) The participants D) Hours spent playing sports E) There is no IV for this type of analysisarrow_forwardA researcher wants to study whether having to take a 4 hour driving safety course after you receive a traffic ticket can improve how safely a person drives. She compares a group of people who have received traffic tickets in Florida and who chose take a 4 hour driving safety course to a group of drivers who received a traffic ticket and opted to not take the course. She then measures whether they got a second traffic ticket within the next 6 months. 1. What is the independent variable for Scenario D? 2. How many levels are there for the independent variable in Scenario D? 3. What is the dependent variable for Scenario D? 4. What is the confound for Scenario D 5. How could the confound be fixed in Scenario D?arrow_forward
- The director of marketing at Vanguard Corporation believes that sales of the company's Bright Side laundry detergent (S) are related to Vanguard's own advertising expenditures (A), as well as the combined advertising expenditures of its three biggest rival detergents (R).The marketing director collects 36 weekly observations on S, A, and R . Vanguard's marketing director is comfortable using parameter estimates that are statistically significant at the 10 percent level or better. Give the specific statistical tool that can be used to this problem.arrow_forwardSuppose a researcher has a control group and an experimentalgroup, and would like to compare means between the two groups. Which of the following statistical tests would likely be most suitable? a) an ANOVA b) regression c) a binomial test d) chi-square test e) correlation coefficient f) p-valuearrow_forwardGiven below are seven observations collected in a regression study on two variables, x (independent variable) and y (dependent variable). Copy and paste the numbers in an Excel worksheet and then use Excel's Regression tool to conduct a simple linear regression analysis. Choose 95% confidence level. Answer the following questions: x y 2 12 3 9 6 8 7 7 8 6 7 5 9 2 t statistics is statistically significant at 5% level. Answer Yes or No. Yes No What is the lower bound of the 95% confidence interval for the independent variable x (Keep 2 decimal places) What is the upper bound of the 95% confidence interval for the independent variable x (Keep 2 decimal places)arrow_forward
- Consider a simple logistic model in which the response variable is attendance at a conference (yes = 1; no = 0), and the sole independent variable is a college degree (degree = 1; no degree = 0). The estimated odds ratio for the college degree variable is 1.25. What is its proper interpretation?arrow_forwardA biologist looked at the relationship between number of seeds a plant produces and the percent of those seeds that sprout. The results of the survey are shown below. Seeds Produced 65 51 59 66 42 62 61 69 65 Sprout Percent 64.5 65.5 64.5 49 72 61 50.5 54.5 50.5 Use a level of significance of α=0.05α=0.05 to state the conclusion of the hypothesis test in the context of the study. There is statistically significant evidence to conclude that a plant that produces more seeds will have seeds with a lower sprout rate than a plant that produces fewer seeds. There is statistically significant evidence to conclude that there is a correlation between the number of seeds that a plant produces and the percent of the seeds that sprout. Thus, the regression line is useful. There is statistically insignificant evidence to conclude that there is a correlation between the number of seeds that a plant produces and the percent of the seeds that sprout. Thus, the use of the regression…arrow_forwardWhat are the independent and dependent variables for the following examples? What statistical test would you use for each of the following scenarios? What would you set your alpha-level at? Sally wants to examine whether there is a difference in muscular strength between participants who engaged in an 8-week resistance training program and participants who engaged in an 8-week endurance training program. The participants only took part in one of the 8-week programs, not both. What test would she use to determine whether the differences in muscular strength are significant? Why?arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw Hill
Glencoe Algebra 1, Student Edition, 9780079039897...
Algebra
ISBN:9780079039897
Author:Carter
Publisher:McGraw Hill
Probability & Statistics (28 of 62) Basic Definitions and Symbols Summarized; Author: Michel van Biezen;https://www.youtube.com/watch?v=21V9WBJLAL8;License: Standard YouTube License, CC-BY
Introduction to Probability, Basic Overview - Sample Space, & Tree Diagrams; Author: The Organic Chemistry Tutor;https://www.youtube.com/watch?v=SkidyDQuupA;License: Standard YouTube License, CC-BY