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Regression Analysis

Regression Analysis on TV Viewing by Age

Researchers have collected data on the hours of television watched in a day and the age of a person. The data: Age Hours of Television 30 2 65 7 72 6 41 4 Additional Info: y= -.698 + .105x a) Find coefficient of det

Simple Linear Regression, Multiple Regression Model, and CI

1. A simple linear regression model relating investment (y) by companies to bank lending interest rate (x) is stated as error term the is where y=?o+?1x+? where is ? is the error term a. What are the intercept and slope for the relationship between investment and interest rate stated above? What sign would you expect for th

Multiple Regression Analysis, Time Series Analysis

See attached data file. Background: One day, after reporting the performance of the company to the shareholders, the CEO of A. Fictitious & Co. decided that he would like to quantify the impact of the company's expenditures has on how much sales it generates. In other words, he would like to know if the company increases t

Correlation and Simple Linear Regression

Take your data and arrange it in the order you collected it. Count the total number of observations you have, and label this number N. Then create another set of data starting from one and increasing by one until you reach N. For example, if you have 10 observations, then your new set of data would be (1, 2, 3, 4, 5, 6, 7,

Multiple Regression & Time Series Forecasting

The CEO noticed that he has five years of quarterly sales data in hand, and they form a time series. He decided to also ask you to perform time-series analysis on it, and use it to forecast what future sales are expected to be at the end of 1Q 2009. 1. Plot the quarterly sales as a function of time in your Excel data spreads

statisitcs questions

6. Company officials are concerned about the length of time a particular drug retains its potency. A random sample (sample 1) of 10 bottles of the product is drawn from current production and analyzed for potency. A second sample (sample 2) is obtained, stored for one year, and then analyzed. The data is in file potency. Prob

Correlation and Regression....

A researcher wishes to determine the relationship between the number of cows (in thousands) in countries in southwestern Pennsylvania and the milk production (in millions of pounds). The data are shown. Describe the relationship Cows x 70 3 194 12 46 65 Pounds y 115 5 289 15 72 92 (a) find the values of the correlatio


See the attached file for the table. 2 THE FRESH DETERGENT CASE Model: y = b0 + b1 x1 + b2 x2 + b3 x3 + e Sample size: n = 30 Regression Statistics Multiple R 0.9453 R Square 0.8936 Adjusted R Square 0.8813 Standard Error 0.2347 Observations 30 ANOVA df SS

The Hospital Labor Needs Case - Multiple Linear Regression

See attached file. (Table 1) presents data concerning the need for labor in 16 U.S. Navy hospitals. Here, y = monthly labor hours required; x1 = monthly X-ray exposures; x2 = monthly occupied bed days (a hospital has one occupied bed day if one bed is occupied for an entire day); and x3 = average length of patients stay (in d

Time Series for Apple, Inc

The required Apple Inc sales data in attached Excel document. You will therefore be required to collect historical unadjusted (i.e. should not be adjusted for seasonality) data for eight years, that will be used for these time series. TIME SERIES PARTICULARS You must perform a complete time series analysis, making use o

Stats_Regression model of new MBA salaries

Analyze statistical data for the project: School Ranking Region Type Salary/Bonus Employment Rate within 6 months Additional Fees Annual Cost Average Indebtedness BYU (Marriott) 29 Utah private $93,448 93.30% $0 $8,700 $21,888 Dartmouth College (Tuck) 7 East private $122,812 90.10% $250 $42,990 $90,078 Washin


The dean of the college of business at Tech has initiated a fund-raising campaign. One of the selling points he plans to use with potential donors is that increasing the colleges private endowment will improve its ranking among all business schools, as published each year by the magazine, The Global News and Business Report. H

Regression Analysis: Linear & Quadratic Models

Excel (Regression) The dataset mercury.xls has two variables both numeric: - methyl mercury intake (INTAKE) - mercury in whole blood (BLOOD) These two measures were recorded on a sample of 15 subjects exposed to methyl mercury through consumption of contaminated fish. The researcher wants to know if is possible to p

Help with ANOVA and linear and multiple regression

I need help with the following type of problem: You work in the shipping and logistics department for Beast Buy, an American mail order company that specializes in pet food for VERY exotic pets. Beast Buy has four warehouses/distribution centers that provide product to each of four different regions in the US; Atlanta service

Multiple Regression Analysis Regression

You wanted to develop a model to predict how long individuals will live. After consulting a number of physicians, you collected the age at death (y), the average number of hours of exercise per week (x1), the cholesterol level (x2), and the number of points that the individual's blood pressure exceeded the recommended value (x3)

Please Help Check My Answers- Time Series Analysis- Forecasting

I would like help in checking my answers against the following: The data in DJIA.XLS (attached) represent the closing value of the Dow Jones Industrial Average (DJIA) over the 24-year period 1979 through 2002. Using EXCEL, PHStat2, or any other statistical program, answer the following: When fitting a third-order auto

statistical regression

1. Develop estimated regression equations, first using annual income as the independent variable and then using household size as the independent variable. Which is a better predictor of annual credit card charges? 2. Develop an estimated regression equation with annual income and household size as the independent varia

Multiple Regression Analysis Interpretation

Run a multiple regression equation and interpret the coefficient results to determine that these independent variables impact the sale price of a home. Model is: HOUSE PRICE ESTIMATE = BEDROOMS + SQUARE FOOTAGE + GARAGE + BATHS DATA SETS Variables X1 = Selling price in $000 X2 = Number of bedrooms X3= Size of t

Step by step regression analysis

(A) Regression analysis - Show all work 1. Run a regression of profits on assets and sales and interpret your result. You can use excel 2. By using dummy variable approach, compare the effect of Japaneseââ?¬â?¢s assets and sales on profits with that of the United States. 3. Use alpha equal to 10%, please indicate your

Regression Analysis & Confidence Interval

1. You may recall that at our first class we discussed a data file collected from a graduate survey. At that time we were concerned most with descriptive statistics. The file is GRADSURVEY (attached). An interesting question is whether there are some variables in that data file that can explain or predict anticipated salary in

Calcultion of Regression Analysis

See the attached files. Question 1: Solve Exercise 11.6 (In a certain type of metal test) on page 399 of Walpole textbook. Show all your work. Here is the description of exercise 11.6: In a certain type of metal test specimen, the normal stress on a specimen is known to be functionally related to the shear resistance.

Case #1, 2 and 3

I could really use your help, I have attached the work that I have completed for Case #2 in the word document attached. In case #2 I need help with part "a". The excel spreadsheet provides all of the work that I have done for Case #2 and #3. In Case #3 I need help with "discussing the predictability of productivity from cumu

Analysis of Data with SPSS

Identifying individuals with a high risk of alzheimer's disease usually involves a long series of cognitive tests. However, researchers have developed a 7 minute screen, which is a quick and easy way to accomplish the same goal. The question is whether the 7 minute screen is as effective as the complete series of tests. The addr

Time Series Forecasting

I am a little confused about this. I have used the regression analysis in excel, but not sure if I did it right and if the scatter plot is correct. My biggest problem is that I need help with writing out the process. I have attached the excel file with the work that I have tried to complete. The following data on the number o

Determinants of Unemployment Duration

Layoffs and unemployment have affected a substantial number of workers in recent years. Assume the Bureau of Labor Statistics (BLS) collected data for 50 displaced workers in the Houston area in September 2011. These data are available on the course website within the ââ?¬Å"Case Studyââ?¬Â? icon. The dependent variable (

find the best predicted braking distance for a car that weighs 4000 lbs.

Need help with this assignment... I am very confused on how to do it. Please show all work and fill out the worksheet below. Thanks! 1. Generate a scatterplot. The variables will be weights of cars (x) and the corresponding braking distances (y). 2. Using the prediction procedure, find the best predicted braking dist

Statistics: Test golf ball distances; soft drink bottling company delivery times

1. A sporting goods manufacturing company wanted to compare the distance traveled by golf balls produced using each of four different designs. Ten balls were manufactured with each design and were brought to the local golf course for the club professional to test. The order in which the balls were hit with the same club from the

Regression Analysis and Correlation Coefficient

Please answer the 11 following questions about the attached problem. Please note that there are 4 attachments for this pb (the table is in two parts). (c) Find the regression coefficients a and b. (d) Place the regression line on the scatter diagram. (e) Give s^2 xy and s xy. (f) Compute the missing predicted values, residua