Given Data: X Y 11 24 12 25 16 33 13 25 12 19 15 24 16 25 18 35 Use the given data (above) to answer the following questions: 1. Determine the regression equation relating X and Y? Use the formula to determine the value of and hence find . 2. State the models being compared to determine if the
Forecasting: The following table shows the past two years of quarterly sales information. Assume that there are both trend and seasonal factors and that the seasonal cycle is one year. Use time series decomposition to forecast quarterly sales for the next year.
The following table shows the past two years of quarterly sales information. Assume that there are both trend and seasonal factors and that the seasonal cycle is one year. Use time series decomposition to forecast quarterly sales for the next year. Quarter Sales Quarter Sales 1 160 5 215
An antique collector believes that the price received for a particular item increases with its age and with the number of bidders. The attached file contains data on these three variables for 32 recently auctioned comparable items. a) Formulate and estimate a multiple regression model using the given data. Interpret each of t
In the following regression, X = monthly maintenance spending (dollars), Y = monthly machine downtime (hours), and n = 15 copy machines. Please view the attached file for the required data. (a) Write the fitted regression equation. (b) State the degrees of freedom for a two-tailed test for zero slope, and use Appendix D to
Do literacy and GDP explain life expectancy? Would you include any other independent variables? Explain the attached regression table and ANOVA table as a whole in detail as it correlates to the variables.
I need help with estimate simple linear regression model for the management of Beta Technologies, Inc. is trying to determine the variable that best explains the variation of employee salaries using a simple of 52 full time employees in the attached file. I need to identify which of the following has the strongest linear relatio
14.16 (a) Plot the data on U.S. general aviation shipments. (b) Describe the pattern and discuss possible causes. (c) Would a fitted trend be helpful? Explain. (d) Make a similar graph for 1992-2003 only. Would a fitted trend be helpful in making a prediction for 2004? (e) Fit a trend model of your choice to the 1992-
I need to show a scatter diagram using the molecular weight as my x-axis. Consider the following data on 20 chemical reactions, with Y = chromatographic retention time (seconds) and X = molecular weight (gm/mole). (a) Make a scatter plot. (b) Use Excel to fit the regression, with fitted equation and R2. (c) In your own words,
Please see the attached file. I have 2 data sets that determine a y-value based on known x-values (the x-values are given as temp degrees C) ---- each of those actual line graphs have been fitted with an approximate "best fit" line determined by Excel with 2 separate 6th order line equations. Our homework asks us to add th
Ho: Total home cost increases with additional square feet Ha: Total home cost does not increase with additional square feet Define bivariate regression, discuss fitted regression and using regression for prediction purposes. Please see attached data and help me to understand what each section means.
Given your newfound knowledge about Regression and Correlation, apply it now to the real world and give me an example using my work experience; I work as an enrollment counselor registration students. I register anywhere from 5 to 10 students a month into associates programs. In addition, I have about 4 hours talk time a day.
In your own words, tell me what is the major difference between correlation and regression. There are a couple of differences, but one really stands out however, there are some concepts which could use clarification.
Is this regression significant? How do you know? Please see the attached file.
Please see the attached file for complete questions. 1. The following results were obtained as part of a simple linear regression analysis. We wish to test Ho: β = 0. The computed value of the test statistics is ________ 2. The following results were obtained as part of a simple linear regression analysis. For
THE NASDAQ stock market includes small-and medium-sized companies, many of which are in high-tech industries.
THE NASDAQ stock market includes small-and medium-sized companies, many of which are in high-tech industries. Because of the nature of these companies, the NASDAQ tends to be more volatile than the Dow Jones Industrial Average or the S&P 500. The weekly values for the NASDAQ during the first 20 weeks of 2006 are listed in the d
Please see the attached file. 8. Consumer Debt Credit card debt has risen steadily over the years. The table above gives the average U.S. credit card debt (in dollars) per household. Years are represented as the number of years since 1900. (The table above includes all credit cards and U.S. households with at least one credi
Regression analysis was applied between demand for a product (Y) and the price of the product (X), and the following estimated regression equation was obtained. Y = 130 - 20 X Based on the above estimated regression equation, if the price is increased by 2 units, then demand is expected to decrease by 90 units i
Please see the attached file.
13. The following data are prices for custom homes comparing square feet (given in hundreds) and price (in thousands). Square Feet Price 26 259 27 274 32 315 29 296 29 325 34 380 32 359 40 523 22 215
Find the following: (a) Compute the sample regression coefficients bo and b1. (b) Compute the estimated variance of the regression. (c) Compute the standard error of the regression. (d) Compute the estimated variance of b1. (e) Compute the standard error of b1. Year y = book value per share x = earning per share 1980
A regression model relating x, number of sales persons at a branch office, to y, annual sales at the office ($1000s), has been developed. The computer output from a regression analysis of the data follows. The regression equation is Y = 80.0 + 50.0X Predictor Coef Stdev t-ratio Constant 80.0 11.333 7.
Please see the attached file. You want to develop a model to predict the assessed value of houses, based on heating area. A sample of 15 single-family houses is selected in a city. The assessed value (in thousand of dollars) and the heating area of the houses (in thousands of square feet) are recorded, with the following res
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 indi-cates the number of client contacts last month, and th
Consider the following regression model: ? D = percent change in DJIA (Dow Jones Ind. Avg.); ? O = per barrel price of oil; ? I = interest rates (in real number percentages: 6%, etc); ? E = corporate earnings growth rate; ? G = GDP growth rate. ? R2 = 0.8500 ? F = 24 ? F(Se) = 1.0 ? D = 2.0 - 3.0I + 1.5E - 1
You are the general marketing manager of Ford Motor company. The CEO of the company asked you to assess the viability of producing alternative fuel automobiles (ex, ethanol). What types of forecasting techniques would you use to forecast sales? Should you determine that regression analysis may be beneficial in addressing this qu
Step by step method for regression analysis is discussed here. Regression coefficients, coefficient of determination, scatter diagram and significance of regression model are explained in the solution.
3. Bi-lo Appliance Stores has outlets in several large metropolitan areas. The general sales manager plans to air a commercial for a digital camera on selected local TV stations prior to a sale starting on Saturday and ending Sunday. She plans to get the information for Saturday-Sunday digital camera sales at the various outlets
I need your assistance with a linear regression analysis and a regression hypothesis test on my data. My hypotheis statement is: "Is there a difference in earnings between women with a two-year or four-year college degree?" Ho, they are the same and Ha, is equal to or greater than Ho. This is my data, 2 year degree earnings are
Tree diagram: A. Perform a decision tree analysis of Steeley Associates' decision situation using expected value, and indicate the appropriate decision with these criteria. B. Indicate the decision you would make, and explain your reasons.
Case Problem #2 Steeley Associates, Inc. a property development firm, property development firm purchased an old house near the town square in Concord Falls, where State University is located. The old house was built in the mid-1800s, and Steeley Associates restored it. For almost a decade, Steeley has leased it to the univer
Make an Excel graph of the data on U.S. online advertising spending. (b) Discuss the underlying causes that might explain the trend or pattern. (c) Use Excel, MegaStat, or MINITAB to fit three trends (linear, quadratic, exponential) to the time-series. (d) Which trend model do you think is best to make forecasts for the next 3 y
Please see attachment! Use the data from Exercise #12.3 below. (a) Plot a scatter diagram, (b) Show the equation on the plot using the trendline option of Excel, (c) State the value of the slope, and (d) State the value of the intercept. Use the data from Exercise #14.1 (see below) and (a) Plot a scatter dia