There are 10 questions pertaining to modeling, regression, and general stats. I am looking for input where my answers are incorrect or where you feel additional input would help. 1. The regression coefficient is most likely a useful predictor if its value is equal to zero a. True b. False. My guess is True 2. The su
There are four questions that pertain to basic stats and model building. 1. A dummy variable: a. is useless in building models b. is always given a value of 1 c. is not useful in modeling categorical variables d. has only two possible values 0 (zero) or 1. 2. A horizontal regression line has a special signifi
A high-end market research firm has contacted your boss and is trying to sell some business to your organization. Upper management does not want to appear incompetent, so they have asked you to research and explain three major ways multivariate statistics are used in a business. Provide at least 1 example of how a real compan
Need assistance to better understand how to calculate problems. Please calculate and explain process
1. Smith Software Inc. is a computer software firm that has grown in size in recent years. To assist in its planning for future growth, you are to determine the trend of the number of accounts based upon the below. Month Number of Accounts 1 76 2 90 3 93 4
A real estate builder wishes to determine how house size (house) is influenced by family income (income), family size (Size) and education of the head of household (School) . House size is measured in hundreds of square feet, income is measured in thousands of dollars, and education is measured in years. The builder randomly
You decide to predict gasoline prices in different cities and towns in the U.S. for your term project. Your dependent variable is price of gasoline per gallon and your explanatory variables are per capita income, the number of firms that manufacture automobile parts in and around the city, the number of new businesses starts in
An economist is interested to see how consumption for an economy (in billions) is influenced by gross domestic product (billions)
(See the attached file for full problem description) An economist is interested to see how consumption for an economy (in billions) is influenced by gross domestic product (billions) and aggregate price (consumer price index). The Microsoft Excel output of this regression is partially reproduced below. SUMMARY OUTPUT R
................................................................................................... Business / Managerial Accounting - Please select ONLY: a,b,c, or d. ................................................................................................... * What is the purpose of regression analysis? a. To
Attached Data Files: FUNDS - This file contains 185 rows of data points 1st Column : Fund Name 2nd Column : Fund Type (Balanced = 1, Equity-Income = 2, Growth and Income = 3, Growth = 4, Aggressive-Growth = 5, Small-Company = 6, International and Global =7) 3rd Column : Five Year investment performance 4th Column : 1992 Retu
See attached file for full problem description. A. What is the sample size? B. Compute the value of R2. C. Compute the multiple standard error of estimate. D. Conduct a global test of hypothesis to determine whether any of the regression coefficients are significant. Use the .05 significance level. E. Test the regressio
Given the following ANOVA table: SOURCE DF SS MS F Regression 1 1000.0 1000.00 26.00 Error 13 500.0 38.46 Total 14 1500.0 A. Determine the coefficient of determination. B. Assuming a direct relationship between the variables, what is the
2a. Perform a simple regression analysis to forecast the number of apartment units leased, based only on average lease price. What is your forecast if the lease price is to be $455? Semester Average lease price x Number of Units leased y X^2 xy Y^2 1 450 291 202500 130950 84681 2 460 228 211600 104880 51984 3 450 252 20
16. Does a heavier bowler knock down more pins? Jim Samuels, manager of Maple Lanes, asked 15 men's league players to report their body weight (lb.) and their league average, rounded to the nearest pin. Results are shown in the table attached. Make sure you include your chart and calculations from excel as a part of your a
4. Generations of athletes have been cautioned that cigarette smoking retards performance. One measure of the truth of that warning is the effect of smoking on heart rate. To examine this impact, six of each of non-smokers, light smokers, moderate smokers, and heavy smokers undertook sustained physical exercise. Their heart
Forecasting Exercise Year Demand ( in 1000's ) 1 13 2 17 3 18 4 21 5
Laura wanted to build a multiple regression model based on advertising expenditures and Coffee Time's price index. Based on the selection of all normal values, she obtained the following: Multiple R = 0.738 R-Square = 0.546 By using lagged values, she came up with the following: Multiple R = 0.755 R-Square = 0.570
Determine regression equation and interpret the slope value amd coefficient of the correlation and conclusion
Super Markets, Inc. is considering expanding into the Scottsdale, Arizona, area. Ms. Luann Miller, Director of Planning, must present an analysis of the proposed expansion to the operating committee of the board of directors. As a part of her proposal, she needs to include information on the amount people in the region spend per
(See attached file for full problem description) 14.16 Mike Wilde is president of the teachers' union for Otsego School District. In preparing for upcoming negotiations, he would like to investigate the salary structure of classroom teachers in the district. He believes there are three factors that affect a teacher's salary:
I need to use this information to create numbers (imaginary numbers) and perform regression testing. Surveys carried out by a manager for assessing overall ratings of employees, in the form of marks out of 100 for each attribute. Attributes (the variables) might include handling of employee complaints assessing employee pay r
To estimate crimes in a City with 20 police by determining the line of regression. See attached file for full problem description.
A regression equation regarding repair cost of car. The repair cost is the dependent variable and the age of the car is the independent variable. The situation is that as the age of the car increases, the repair cost increases also. The regression equation is Y'= $80 + 20X 1. What is "20" means in the equation? 2. What
Mr. William Profit is studying companies going public for the first time. He is particularly interested in the relationship between the size of the offering and the price per share. A sample of 15 companies that recently went public revealed the following information.
Mr. William Profit is studying companies going public for the first time. He is particularly interested in the relationship between the size of the offering and the price per share. A sample of 15 companies that recently went public revealed the following information. Company Size ($ millions), X Price per Share, Y Company Si
Sales Number of Units Chain ($billions) (1,000) ------------------------------------------------- McD's 17.1 12.4 Burger King 7.9 7.5 Taco Bell 4.8 6.8 Pizza Hut 4.7 8.7 Wendy's
What strategy would you recommend to solve the challenge of demand forecasting?
Briefly state the evaluation criteria for using a computed regression equation; specifically, comment on the coefficient of determination, correlation coefficient, and standard error of the estimate.
Briefly List and explain the assumptions underlying the use of Linear Regression.
The Buyer's Guide section of the Web site for Car and Driver magazine provides reviews and road tests for cars, trucks, SUVs, and vans. The average ratings of overall quality, vehicle styling, braking, handling, fuel economy, interior comfort, acceleration, dependability, fit and finish, transmission, and ride are summarized for
The following regression equation was computed from a sample of 20 observations: Y' = 15 - 5X SSE was found to be 100 and SS total 400. a) Determine the standard error of estimate. b) Determine the coefficient of determination. c) Determine the coefficient of correlation.
(See attached file for full problem description with proper symbols) Review question 5 Soil and sediment adsorption, the extent to which chemicals collect in a condensed form on the surface, is an important characteristic influencing the effectiveness of pesticides and various agricultural chemicals. The following table co
1. Mr, James McWhinney, president of Daniel-James Financial services, believes there is a relationship between the number of client contacts and the dollar amount of sales. To document this assertion, Mr. McWhinney gathered the following sample information. The X column indicates the number of client contacts last month, and t