(See attached file for full problem description) --- Q: The following data is given: Date Advertising Price Quantity January 25 12500 15 February 30 12200 17 March 26 11900 16 April 28 12000 18 May 27 11800 20 June 29 12500 18 July 28 11700 22 August 30 12100 15 September 24 1
A. Laura wanted to build a multiple regression model based on advertising expenditures and coffee times price index. Based on the selection of all normal values she obtained the following: 1) Multiple R = 0.738 2) R-square = 0.546 By using lagged values she came up with the following: 3) Multiple R = 0.755
A multiple regression analysis based upon (t statistics in parentheses): Profit/Emp.=$17,267.679+0.052 Ind. Profit/Emp.+0.083Rev./Emp.+0.006 Ass./Emp. (1.26) (0.16) (5.19) (3.86) Interpret these results. Is profit per employee more sensitive to industry-specific or firm-specific factors for this sampl
Outline Forecasting is an essential tool in any decision making process. There are various techniques of forecasting. I Regression analysis is used to forecast revenues and expenses: Regression analysis is any statistical method where the mean of one or more random variables is predicted conditioned on other (measured) r
How might you go about creating a stronger regression model? For example, you have a multiple regression model with an adjusted R-Square of 0.49, which would explain 49% of the variance of the dependent measure, and you would like to explain 70% of the variance of the dependent measure.
Part 1 Work through a simple regression calculation using intrinsic job satisfaction and extrinsic job satisfaction. Select thirty data points from the attached Data Set to use for each group. You are also welcome to decide which group you want to make the dependent variable and which the independent variable. The final answer
The Gametime Hat Company manufactures baseball caps that have various team logos in an assortment of designs and colors. The company has had monthly sales for the past 24 months as follows. Month Demand (1,000s) 1 8.2 2 7.5 3 8.1 4 9.3 5 9.1 6 9.5 7 10.4 8 9.7 9 10.2 10 10.6 11 8.2 12 9.9 13 10.3
What are the patterns of a time series data?
What are the effects of dummy variables in regression analysis and why are they useful?
1.What is the dependent variable in this demand study? 2.What are the independent variables? 3. What are the expected signs of the variables thought to affect transit ridership? STA Data on Transit Ridership Year Weekly Riders (Y) (x 1,000) Price (P) per Ride (Cents) Population (T) (x 1,000 Income
I have the scatter diagram. I am confused with (b) and (c). (See attached file for full problem description) --- A sales manager for an advertising agency believes there is a relationship between the number of contacts and the amount of sales. To verify this belief, the following data were collected: Salesperson #
Please only supply a solution if it can be typed using software such as mathtype. --- The regression line of y on x for n pairs of data has the equation . If the data is coded by means of the relations: what restrictions, if any, must be placed to ensure that the value of the regression coefficient b is unaffected? ---
Please find attached problem and excel worksheet that relates. --- (a) The regression line of y on x for n pairs of data has the equation . If the data is coded by means of the relations: what restrictions, if any, must be placed on and to ensure that the value of the regression coefficient b is unaffected?
1. Regression analysis is a statistical procedure for developing a mathematical equation that describes how: a. one independent and one or more dependent variables are related b. several independent and several dependent variables are related c. one dependent and one or more independent variabl
The store manager is under impression that his sales people do more business if they score higher on the social skills test which was administered this year. 5 victims were selected at random. Below, the results are X =test score, Y =weekly sales in $1000. X (score) Y (sales) 4
6. The owner of Maumee Ford-Mercury wants to study the relationship between the age of a car and its selling price. Listed below is a random sample of 12 used cars sold at the dealership during the last year. Car Age(years) Selling Price($000) Car Age Selling Price 1 9 8.1
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 the Y
Work through a simple regression calculation using intrinsic job satisfaction and extrinsic job satisfaction. (intrinsic job satisfaction being the independant variable and extrinsic job satisfaction being the dependant variable) Represent the equation as y = bx + a. The data set for intrinsic and extrinsic job satisfaction
A normal tomato will gain an average of 2 ounces per week during the growing season. A sample of 100 tomatoes is given a special hormone to increase their growth. The average weight gain of tomatoes in the sample was 3 ounces with a standard deviation of 1 ounce. Conduct a hypothesis test to determine if the hormone increased
A mortgage department of a large bank is studying its recent loans. Of particualr interest is how such factors as the value of the home (in thousands of dollars), education level of the head of the household, age of the head of the household, current monthly mortgage payment (in dollars), and gender of the head of the household
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 Price Company
What is the purpose of statistical estimation? What statistics do you find most useful in regression analysis? Why?
View the enclosed graph and data set Write an equation of the form y=mx +b for your graph model and explain what the value of m tells you about this situation. Building Stories Height Indiana Bell Telephone Bldg. 20 320 National City Center 23 301 Los Angeles City Hall 28 454 Pacific Tower 30 350 United Nations Buildi
52. Refer to the Baseball 2000 data (Appendix D), which reports information on the 2000 Major League Baseball season. a. Let the games won be the dependent variable and total team salary, in millions of dollars, be the independent variable. Can you conclude that there is a positive association between the two variables? D
When the underlying average of a time series is very stable and there is no trend, cyclical, or seasonal influences: a. A simple moving average forecast with n = 20 should outperform a simple moving average forecast with n = 3. b. A simple moving average forecast with n = 3 should outperform a simple moving average forecast wi
I need help with these questions: An advantage of exponential smoothing over a simple moving average is that exponential smoothing requires one to retain less data. True False Which of the following statements about scatter diagrams is true? Time is always plotted on the Y axis. It can
I need help with the following questions: 1. To make a forecast which is accurate over time requires historical data. True False 2. No single forecasting method is superior to another. True False 3. Time-series models rely on judgment in an attempt to incorporate qualitative or subj
A regression equation is used to: a. Measure the association between two variables b. Estimate the value of the dependent variable based on the independent variable c. Estimate the value of the independent variable based on the dependent variable d. Estimate the coefficient of determination.
It is recommended that you use the computer EXCEL sheet attached to help you answer the following questions: Write the answers in the provided space. An answer saying "see attached page" is not an option. There are almost no calculations. Most of the answers are on the EXCEL spreadsheet. X Y Stress Test Score Score
Cellulon, a manufacturer of a new type of home insulation, wants to develop guidelines for builders and consumers regarding the effects on natural gas consumption (1) of the thickness of the insulation in the attic of a home and (2) of the outdoor temperature. In the laboratory they varied the insulation thickness and temperatu