Share
Explore BrainMass

Regression Analysis

Linear Regression Multiple Choice Questions

Which one of the following statements concerning the regression line is true? a. There is a positive linear relationship between the two variables. b. The slope is greater that 1. c. The intercept is at or near 30. d. Vehicles with larger wheelbases have the worst fuel economy. The slope of the regression line, b1, is at

Time Series and Forecasting

A). Predict the average price of bread for the next 3 months (time = 205,206,207). b). Test the significance of the slope for this model. c). Is the graph consistent with the results of your hypothesis test? Explain why or why not.

Regression

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)

Regression

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

Plot/Regression line

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

Important information about Scatter Plot, Regression

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

Regression Analysis

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

Regression Analysis

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

Re:Post 9815

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

Regression Models and Dependent Variables

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

Multiple Regression

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

Regression

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.

Statistics - Regression and Correlation

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

Multiple regression: a. Complete the missing entries in this output. b. Compute F and test using level of significance = .05 to see whether a significant relationship is present. c. Did the estimated regression equation provide a good fit to the data on employees Explain. d Use the t test and level of signficance =.05 to test H0: b1 = 0.

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

Set up the hypotheses to see if there is a difference in the number of purchases made on-line by women for the three age groups. Perform the Kruskal- Wallis test at the 0.05 level of significance. What can you conclude? Find the equation of the regression line for the data.

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 intercept and regression coefficients.

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

Simple Linear 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 regression model that was developed for this case. Analyze the computer output.

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

Regression analysis and hypothesis testing problems

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

A Discussion On Forecasting: Time Series

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.

Regression Analysis

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

Quadratic Polynomial Model

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

Regression

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

Home Schooled Pupils

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

Interpretation of Data using SPSS (--provide detailed response)

I'm in the number crunching phase of some research. I had an advanced stats class two years ago, hence, the haziness on the interpretation end. I compiled the data from the Metropolitan Chicago Information Center (MCIC) and developed two hypotheses relative to data about residents' perception of crime in their neighborhoods for

Regression and hypothesis testing

Fred is the manager of human resources at St. Luke Hospital. As part of his yearly report to the president of the medical center, he is required to present an analysis of the salaried employees. Because there are over 1,000 employees, he does not have the staff to gather information on each employee, so he selects a random sam

Calculating Regression using Excel for a Mortgage Department

A mortgage department of a large bank is studying its recent loans. Of particular interest is how such factors as the value of home (in thousands of dollars), education level of the head of household, current monthly mortgage payment (in dollars), and sex of the head of the household (male = 1, female = 2) relate to the family

Regression and hypothesis testing - Median Income for Familes

Fran's Mart are located throughout Erie, Pennsylvania, the owner would like to expand into other communities in northwestern Penn. and southwestern New York. As part of her presentation to the local bank, she would like to better understand the factors that make a particular outlet profitable. She must do all the work herself,