When we carry out a regression, we assume a direct causal relationship. In a correlation analysis, we don't make such an assumption, but nevertheless determine whether 2 variables are related. Briefly explain how two variables can be correlated without one directly influencing the other (=without causal relationship)
1) Given the following data and Excel output, what is the English meaning of the numbers? Years of Education Annual Income (000's) 6 10 7 13 8 15 7 14 9 16 12 21 11 22 14 20 16 19 20 45 13 35 15 36 Regression Statistics Multiple R 0.837129 R Square 0.700785 Adjusted R Square 0
Consider the regression model you found for the data on the number of postal workers in a country and the amount of mail processed. a. Make a plot of the residuals versus the values of the independent variables. b. What does this lead you to believe about the appropriateness of the linear model? c. Now plot the residual
A. Create a scatter plot of the data. Do you think that there is a relationship between the number of stations that a company owns and the revenues generated by radio? b. Find the linear regression line for the data. c. Use the regression line to predict the radio revenues for Chancellor and Westinghouse/Infinity. Whi
See the attached file. a. Create a scatter plot of the data. Do you think that there is a linear relationship between number of kilometers traveled and the number of cars? b. Find the least-squares regression line for the data. Interpret the value of the slope. c. Does the intercept make sense for these data? Why or why n
1). In a study about postage tariffs and revenue, the European Economic Community wanted to look at the relationship between the number of postal employees in a country and the amount of domestic mail that was processed. They collected data for six different countries and found Country Number of Staff Domestic Traffic
How much does advertising impact market penetration? To assess the impact of advertising in the tobacco industry, a study looked at the amount of money spend on advertising a particular brand of cigarettes and brand preference among adolescents and adults. The data are shown below:(PLEASE SEE TABLE ATTACHED) a). Look at the
In trying to look at the effects of shopping center expansion, the Commerce Department decided to look at the relationship between the number of shopping centers and the retail sales for different states in the same region. It collected the data for the North Central states in the U.S. and found the following:(PLEASE SEE ATTACH
Amrit, I really appreciated your detail explanation, is it possible to represent how the detail explanation would be displayed in a graph in your response, Why does one develop a line of regression? What kind of outcomes from the line of regression make sense or does it have to be on the line to be valid? But what does it mean
One of the assumptions for regression models is that the dependent variable must be at least interval scale data. Can you please explain why. And A local company wanted to predict the weekly sales based on the weekly newspaper advertising dollars. The model that result is: ŷ= -0.1 + 0.7x, where the dependent variable is
Q4data.xls could not uploaded but I copied the data into a Word doc data.doc for you. Question 4 : The file Q4Data.xlscontains sales data (in thousands of $) for a medical supplies company that sells its products in three regions South (coded 1), West (coded 2) and Midwest (coded 3). Each region is divided into a number of sa
If you had to choose a business topic that would affect the biologics industry and write a regression paper, what exactly is the definition of regression in statistics and what would you think would be a good topic to look at if you worked for a pharmaceutical/biologics company who creates vaccines and medicines.
Scatter diagram, regression Quick-print firms in a large downtown business area spend most of their advertising dollars on advertisements on bus benches. A research project involves predicting monthly sales based on the annual amount spent on placing ads on bus benches. A sample of quick-print firms revealed these advertisi
Using the following information, find the equation of the regression line, and predict the heart rate when 0.27 milligrams of the drug is used. Drug Dosage, x 0.125 0.20 0.25 0.30 0.35 0.40 0.50 Heart Rate, y 95 90 93 92 88 80 82
Regression questions
Two problems, one may require the working of two problems for correlation. Data and all questions included (if needed). The only questions required are 15.7 and 15.22. 15.7 As Communications and the media change and become more important in the economy, the radio industry has become an area of concern. One of the major
Listed is the selling price for a share of PepsiCo, Inc. at the close of the year A. Plot the data B. Determine the least squares trend equation C. Calculate the points for years 1993 and 1998 See attachment below for time series table.
Recall that in Exercise 45 the personnel director for Electronics Associates developed the following estimated regression equation relating an employee's score on a job satisfaction test to length of service and wage rate. Y = 14.4 minus 8.69 x1 minus 13.5 x2 Where X1 = length of service in years X2 = wage rate i
18.6 A business that is interested in starting an on-line shopping service is interested in finding out whether or not there are differences in how women shop on-line. They are interested in capturing people who are already connected to the Internet, so they run a Web. based survey. They ask respondents how many purchases they h
Regression analysis
The British Bankers Association wanted to look at the relationship between the amount of deposits made in billions and the number of customers the bank had............
A report on housing in metropolitan areas suggests a regression model relating the mean price of a housing unit to several factors, such as median income, average monthly rent of new units and vacancy rate. A sample of 25 cities was taken. a) Write down the multiple regression equation. b) Interpret the meaning of the inter
Regression Analysis Can the cost of flying a commercial airliner be predicted using regression analysis? Suppose a study is conducted to predict cost of a flight by number of passengers using only Boeing 737s traveling 500 miles in comparable routes during the same season of the year. Given here is Excel output for a simple
Three supplies provide the following data on defective parts. Part Quality Supplier / Good / Minor Defect / Major Defect A / 90 / 3 / 7 B / 170 / 18 / 7 C / 135 / 6 / 9 Use a = .05 and test for the independence between supplier and part quality. What does the result of your analysis tell the purchasing departm
The table attached presents 4 years of quarterly sales for Mary's Mongoose Menagerie. Marty wants to know what quarterly sales will be in 2002. Project quarterly sales for 2002 using trend analysis. Now, project quarterly sales for 2002. Revise quarterly sales number for season of the year.
Please review my project that I need to present to class I see that I would Reject Ho on all variables. I would like to state something significant about my work, professor gave 30 data lines no more than 4 variables as a project but did not discuss the Regression portion that much. I would like further detail to put in my attac
Question 4 Once again I have been asked to use SPSS but if you cannot help then we if you can provide the solutions and I will compare to the SPSS output that I obtain A newly born baby was weighed weekly, the figure adopted in each case being the average of the weights on three successive days. Twenty such weights are shown
A. Fit a logistic regression model to predict the probability of successful completion of the MBA program based on undergraduate grade point average and GMAT score. b. Explain the meaning of the regression coefficients for the model fit in (a). c. Predict the probability of successful completion of the program for a student
Based on this article and your knowledge of college-admissions tests, what variables would you include in a multiple regression model to predict ACT scores? Be certain to include dummy variables (categorical variables). After deciding on the variables to include in the model, explain how stepwise regression, R2adjusted and C
The Penrose Consulting Company performs studies for universities that want to raise money through their alumni associations. As part of its work, it recently sampled 18 universities across the United States and determined the number of alumni contacts and the total dollars in gifts received from those alumni during the previous