Linear regression analysis; construct confidence intervals for regression parameters; correlation coefficient . We can use two products at my work, which are mutual funds and see if there is a correlation between the two. The two different funds are: a domestic stock mutual fund, which only invests in large organizations (lar
The director of graduate studies at a large college of business would like to be able to predict the grade point index (GPI) of students in an MBA program based on Graduate Management Aptitude Test (GMAT) score. A sample of 20 students who had completed 2 years in the program is selected; the results are as follows: [see the
Please prepare a Regression and Automated Testing Plan for a Course Project Think about including the following: A business letter to the Jonesville Library introducing the contents of the document A regression and automated testing plan that includes the following: - the phases targeted by the plan - how regress
Describe the economic meaning and statistical significance of each individual independent variable included in the San Francisco demand equation.
Interpret the coefficient of determination (R2) for the San Francisco demand equation. What are expected unit sales and sales revenue in a typical market? Qi = b0 + b1Pi + b2Pxi + b3Adi + b4Ii + uit To illustrate use of the standard error of the estimate statistic, derive the 95 percent confidence interval for expe
The following questions refer to this regression equation. (Standard errors in parentheses.) QD = 15,000 - 10 P + 1500 A + 4 PX + 2 I, (5,234) (2.29) (525) (1.75) (1.5) R2 = 0.65 N = 120 F = 35.25 Standard error of Y estimate = 565 Q = Quantity demanded P = Price = 7,000 A = Advertising expense, in thousands = 54 PX =
The Manager of a seafood restaurant was asked to establish a pricing policy on lobster dinners. Experimenting with prices produced the following data: Avg # Sold per Day (y) Price (x) Avg # Sold per Day (y) Price (x) 200 $6.00 155
1. Figure out the regression equation for males based on what they spend on junk food and their weight. The weight is the independent variable. Do we have a correlation? 2. Figure out the regression equation for females based on what they spend on junk food and their weight. Do we have a correlation? Note: For the first part
Practice Problems a) Explain what is meant by " is an unbiased estimator of the parameter ". b) Why is it desirable for a sample statistic to be unbiased? c) and are unbiased estimators of ______ and ______ respectively. 6. Acu-Copiers sells and services the Acu-500 copying machine. As part of its sta
1. I need to analyze the data in Worksheet 5-5 (attached). This data is real data that was collected by a doctor who specialized in leg and knee injuries. He gathered data from 43 people, indicated by their initials. Each person was required to perform three anterior (frontward) lunges with the right leg followed by three with t
Use linear regression to determine if there is a statistical correlation between the unemployment rate and the residential mortgage bank-charge off rate. Answer the following questions. Table 1. Quarterly Unemployment Rate1996 - 2006 Year Q1 Q2 Q3 Q4 1996 5.53 5.5 5.27 5.33 1997 5.23 5 4.86 4.67 1998 4.63 4
Identify a business research issue, problem, or opportunity facing a Learning Team member's organization that can be examined using regression analysis. Then, use the Internet or other resources to collect data pertaining to your selection. Prepare a paper examining a regression analysis on your collected data. Begin by describi
Ed Norris has developed a Web site for his used textbook business at State University. To sell advertising he needs to forecast the number of site visits he expects in the future. For the last 6 months he has had the following number of site visits: Month 1 2 3 4 5
Marketing Research, Regression Questions. See attached file for full problem description.
The following information is referenced in questions 9 through 11: A random sample of 200 patients admitted to an adult intensive care unit (ICU) was collected to examine factors associated with death during hospital stay for ICU patients. Data was also collected on patient's age (in years), whether the patient had an infectio
Multiple choice questions: questions on a prospective study on the risk factors, joint effects of cardiovascular disease
The following information is referenced in questions 15 through 19. The Framingham Heart Study was a landmark study in epidemiology in that it was the first prospective study of cardiovascular disease and identified the concept of risk factors and their joint effects. The study began in 1948 and 4,434 randomly selected resid
Which of the following statements best describes the unadjusted mean difference (and 95% CI) in hourly wages? What is the best explanation for the fact that the regression coefficient doesn't change much with more covariates? What would happen to the R2 value if age was entered in months (not years) and gender was coded 1=male and 0=females?
Suppose you are doing research on the differences in wages earned by men and women in the U.S. workforce. You gain access to a data set that contains information on a random sample of 534 U.S. workers surveyed in 1985. The data set contains information about the hourly wage (in U.S. dollars) and the sex of each of the workers su
A case-control study is performed to study the relationship between esophageal cancer and an exposure (exposure A). Esophageal cancer is a very rare disease (prevalence <<< 1%) in the general population. The cases were 100 persons with the cancer of whom 30 had exposure A. The cases were a random sample of individuals with cance
Data from a study of 534 U.S. workers from 1985 includes information about each worker's hourly wage (measured in U.S. dollars/hour) and age (measured in years). First, linear regression is performed to estimate the relationship between hourly wage and age (years), and the resulting slope of age is 0.08, and correlation coeffici
1. The chart below gives sales data (in dollars) for McTeale, small auto-parts supplier. JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2000 414 482 396 530 551 396 365 415 424 485 684 802 2001 457 432 465 598 632 424 392 476 489 555 768 883 2002 505 477 534 636 696 466 442 506 531 610 825 973 i. Plot the sales
Using Statdisk 10.4 version 1) Captopril is a drug designed to lower systolic blood pressure. When subjects were tested with this drug, their systolic blood pressure readings were measured before and after the drug was taken, with the results given in the accompanying table. Is there sufficient evidence to support the claim
Find the regression equation, letting the first variable be the independent (x) variable. Find the indicated predicted values. Supermodel Heights and Weights - Find the best predicted weight of a supermodel who is 72 in. tall. Height (in.) 70,70.5,68,65,70,70,70,70,71 Weight (lb) 117,119,105,115,119,127,113,123,115
1. A random sample of 200 patients admitted to an adult intensive care unit (ICU) was collected to examine factors associated with death during hospital stay for ICU patients. Data was also collected on patient's age (in years), race, whether the patient had an infection at the time of ICU admission, and whether the patient had
See attached file for full problem description. Asian/Pacific Islander Adolescent Sexual Orientation and Suicide Risk in Guam. The following exercise involves information from the July 2004 AJPH article, The authors performed both simple and multiple logistic regressions to estimate the association between having thou
The following data are selling prices z of a certain make and model of used cars w years old: (see table below) a) Fit a curve of the form z = cd^w by means of the nonlinear sample regression equation z = cd^w. Hint: use logarithmic transformations. b) Is d significantly different from 1 at the 0.05 significance level?
Utilize Statdisk version 10.4 only. 1) Open the Bears data set and use the values for age (x) and the values for weight (y) to find the following. (Ages are in months and weights are in pounds) a. Display the scatterplot of the paired age/weight data. Based on that scatterplot, does thee appear to be a relationship between
The response (y) variable is weight in pounds, and the predictor (x) variables are HT (height in inches), WAIST (waist circumference in cm) and CHOL (cholesterol in mg). Predictor (x) Variables P-Value R² Adjusted R² Regression Equation HT, WAIST, CHOL 0.000 0.880 0.870 Y = -199 + 2.55 HT + 2.18 WAIST - 0.00534 CHOL HT, W
Find: (a) explained variation (b) unexplained variation (c) total variation (d) coefficient of determination (e) standard error of estimates s^e Listed below are budgets in millions of dollars and the gross receipts in millions of dollars from randomly selected movies. Budget 62 90 50 35 200 100 90 Gross 65 64 48 57
3.3 The service life of a battery used in a cardiac pacemaker is assumed to be normally distributed. A random sample of 10 batteries is subjected to an accelerated life test by running them continuously at an elevated temperature until failure, and the following lifetimes (in hours) are obtained: 25.5, 26.1, 26.8, 23.2, 24.2,
Barron's conducts an annual review of online brokers, including both brokers that can be accessed via a Web browser, as well as direct-access brokers that connect customers directly connected with the broker's network server. Each broker's offerings and performance are evaluated in six areas using a point value of 0-5 in each c
What is the equation of the regression line for the pairs (X,Y) shown below? Assume Y on X regression line. What Y is predicted when X=72?
The lapping process, which is used to grind certain silicon wafers to the proper thickness, is acceptable only if 'sigma', the population standard deviation of the thickness of dice cut from the wafers, is at most 0.50 mil. Use the 0.05 level of significance to test the null hypothesis 'sigma' = 0.50 against the alternative hypo