1. Can you think of an example where analysis of simple-linear and multiple regression analysis can be used? How is regression analysis being used in your workplace, or how should it be used to formulate strategies? 2.What are examples in which regression analysis is used for forecasting? 3. What is correlation analysis? H
Please see the attached file for additional information. The results of a simple regression analysis using all 12 data points yielded an intercept of $11,854.55 and a coefficient for the independent variable of $126.22 (R-squared = .19, t = 1.5, SE = 974). Problem Calculate the quarterly forecasts for 2004 using the hig
7. Shown below is a partial computer output from a regression analysis. (see attached file) a. Use the above results and write the regression equation. b. Compute the coefficient of determination and fully interpret its meaning. c. At a = 0.05, test to see if there is a relation betwee
I've calculated the Regression Analysis Table and need help interpreting the following: Analyze the effect of sack yardage has on quarterback rating. a. Does the sack yardage predict the QB rating? b. What is the regression equation and is this a significant equation? c. What is your prediction for the QB rating of a
A county has four major hospitals: 1) Regional Memorial; 2) General; 3) Charity; and 4) City. A multiple regression model is used to compare the time spent in the hospital after a heart by-pass surgery among the four hospitals. The response (dependent) variable is the amount of time spent in the hospital (in days). The variables
(See attached file for full problem description) The Westar hotel, a 250-room business hotel located in a resort area of the Colorado Rockies, has two lounges on its premises: the Pour Nous Lounge, a pub-style lounge that seats about 50, and Gaiete, a 200-seat nightclub. Jane Bartley is a staff analyst for Westar's corpora
(See attached file for full problem description) --- 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. a. If we want to estimate selling price based on the age of t
A group of management trainees was hired ten years ago at the same entry salary. A manager wants to determine why some of the former trainees are now making much higher salaries than others. How might a manager use multiple regression to answer this question? Assuming that salary is the dependent variable, suggest some independe
I believe the formula to use is the linear Regression Model Yi =Bo + B1 Xi I need an expert to help solve this case study. This was given by our instructor to use as a guide for the final exam in several weeks. He know that we may not get it right but I want to make an attempt with an expert to solve correctly I believe
(See attached file for full problem description) --- Question 1 Lilo is creating an experiment to determine mean differences in weight loss (ratio level variable) of obese children as a result of participation in different weight loss programs (nominal variable with three levels: Atkins, South Beach, and Weight Watchers).
13. The data below represent the age (in years) and the number of hours slept in a day by 7 infants: Age, x 0.1 0.2 0.4 0.7 0.6 0.9 0.2 Hours slept, y 14.9 14.5 13.9 14.1 13.9 13.7 14.3 Find the correlation coefficient. At 0.05% significance level can you conclude there is a correlation bet
The least squares simple linear regression line minimizes the sum of the vertical deviations between the line and the data points. True or False
A highway employee performed a regression analysis of the relationship between the number of construction work-zone fatalities and the number of unemployed people in a state. The regression equation is Fatalities = 12.7 + 0.000114 (unemp). Some addition output is: (See attached file) a. How many states were in the sample?
The following information is a multiple regression problem. I need to explain what the regression analysis is explaining. It is using ANOVA, R-Squared, Adj R, b, t, f, etc. I have started but i want to make sure that i am heading in the right direction. If I could have someone explain to me exactly what the regression states
1) Car dealership chain owner wants to increase the car sales of his chain. He wants to determine which factors influence the sales performance. Owner thinks that the following factors have a significant impact on sales performance: X1 = number of years of experience as a car sales person X2 = age Sales performance is mea
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 4) R-square
(See attached file for full problem description) --- 1. An investor owns three common stocks. Each stock, independent of the others, has equally likely chances of (1) increasing in value, (2) decreasing in value, or (3) remaining the same value. List the possible outcomes of this experiment. Estimate the probability at least
1. A few years ago, Pepsi invited consumers to take and "Pepsi Challenge." Consumers were asked to decide which of two sodas, Coke or Pepsi, they preferred in a blind taste test. Pepsi was interested in determining what factors played a role in people's taste preferences. One of the factors studied was the gender of the consu
Refer to the Real Estate data, which reports information on homes sold in Denver, Colorado, last year. a. Let selling price be the dependent variable and size of the home the independent variable. Determine the regression equation. Estimate the selling price for a home with an area of 2,200 square feet. Determine the 95 perc
I need help understanding the formula to use for this problem. Also, can this be calculated using a function in Excel? An analyst want to use the ratio-to-moving average method to forecast a cmpany's sales for the next few quarters. Beginning in Quarter 3 of 2002, the analyst collects the following sales data (in millions of
Work through a second simple regression by switching the dependent and independent variables used in the first regression. Make very specific comments and give reasons regarding any similarities or differences in multiple R and the ANOVA.
Work through a simple regression calculation using intrinsic job satisfaction and extrinsic job satisfaction. Select thirty data points to use for each group. Determine which group will be the dependent variable and which the independent variable. Will the final answer be a complete model equation.? If so please show the equatio
Correlation and Regression -------------------------------------------------------------------------------- Use the data in the accompanying table. The data came from a study of ice cream consumption that spanned the springs and summers of three years. The ice cream consumption is in pints per capita per week, price of the ic
An accountant wishes to predict direct labor cost (y) on the basis of the batch size (x) of a product produced in a job shop. Using labor cost and batch size data for 12 production runs, the following Excel Output of a Simple Linear Regression Analysis of the Direct Labor Cost Data was obtained. The scatter plot of this data is
Could someone help me PLEASE! with this. It is way above my head, and I desperately need assistance. Thanks so much for your help. The data set is attached. 1.Work through a simple regression calculation using intrinsic job satisfaction and extrinsic job satisfaction. You are more than welcome to select thirty data points f
Plantworld is a large nursery and retail store specializing in house and garden plants and supplies. Tito Nieves, the assistant manager, is in the process of budgeting monthly supplies expense for the next 12 months. He assumes that in some way supplies expense is related to store hours, sales dollars or employee hours worked
1) 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: 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 Expl
Cellulon, a manufacturer of a home insulation, wants to develop guidelines for builders and consumers regarding the effects (1) of the thickness of the insulation in the attic of a home and (2) of the outdoor temperature on natural gas consumption. In the laboratory they varied the insulation thickness and temperature. A few of
In regression analysis, the omission of one or more significant explanatory variables from the regression equation constitutes: a multicollinearity b autocorrelation c specification error d heteroscedasticity e none of the above
See the attached file. The owner of Maumee Ford-Mercury wants to study the relation 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 (years) selling price ($000) 1 9 8.1 7 8 7.6 2 7 6.