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Regression Analysis

Linear regression and Correlation for population vs median age

City planners believe that larger cities are populated by older residents. To investigate the relationship, data on population and median age in ten large cities were collected. City Population (in millions) Median Age Chicago, IL 2.833 31.5 Dallas, TX 1.233 30.5 Houston, TX

ANOVA and Regression 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 services the southeast, Boston services the northeast, Cl

Correlation Coefficient

I need the full answers to the questions in the attached file. They are similar to exercises from Statistics for Engineers and Scientists, William Navidi. Exercise 1 The following table presents shear strengths (in kN/mm) and weld diameters (in mm) for a sample of spot welds. Diameter Strength 4.2 51 4

Great Plains Roofing: Regression analysis for best predictor of sales

Great Plains Roofing and Siding Company inc, sells roofing and siding products to home repair retailers, such as Lowe's and Home Depot, and commercial contractors. The owner is interested in studying the effects of several variables on the value of the shingles sold(\$000). The marketing manager is arguing that the company shou

Explain how a scatter diagram can be used to identify the type of regression to use.

Explain how a scatter diagram can be used to identify the type of regression to use.

Plan with Adequate Information for Hiring Appropriate Employees

A manufacturing plant that produces widgets wants to locate in a new community. The plant personnel officer advertises the employment opportunity and the next morning has 10,000 people waiting to apply for the 1,000 available jobs. It is important to select the 1,000 people who make the best employees because training takes time

Statistics

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 services the southeast, Boston services the northeast, Cle

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 services the southeast, Boston services the northeast, Cleveland services the midwest, and Denver services the west. Your manager has recently asked you to analyze the efficiency of these distribution centers.

Introduction 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 services the southeast, Boston services t

Statistics: Email filters, Growth of aerospace and defense companies; dog food, weight

FOR YOUR EMAIL YOU USE A FILTER TO BLOCK SPAM FROM YOUR INBOX. THE NUMBER OF ITEMS BLOCKED BY DAY OF WEEK IS RECORDED AND A STATISTICAL SOFTWARE SYSTEM IS USED TO PERFORM THE ANALYSIS THAT FOLLOWS. HERE ARE THE RESULTS. SOURCE DF SS MS F P FACTOR 6

Statistics: Five step test for US gas consumption using F test, scatterplot, correlations

See attached data file. 1. Show variables data are useful, there will be a number of variables look at scatter plots, do an F test. This will tell if one of the variables has some predictive value or not. 2. What is the first order of term appropriate? What are independent variables interacting with other independent variabl

Regression Equation: Average SAT Scores & GPAs

Suppose that you are interested in determining the relation between the students average SAT scores [x] and their freshman GPA [y]. You collect the results for 50 students. Your hypothesis is that the SAT scores explain some of the variation in GPA's of the students. After collecting your data, you obtain the following statistic

Multiple Regression Equation: Example Problems

See file attached for data charts associated with each question. a) A bicycle company wants to measure the effectiveness of different types of advertising media in the promotion of its new bicycle. Specifically, the company is interested in the effectiveness of radio advertising and newspaper advertising. A sample of 22 cit

City probation office trys to forecast volume of new cases

Attached is the minitab output and problems. A city probation office tries to use various reported crime rates to forecast the volume of new cases. The total number of nonviolent crimes reported in the city is determined for 12 quarters, as is the volume of new cases. The data are: Quarter, t: 1 2 3 4 Crimes (thou

Study on transportation safety: Numerical, graphical summaries, regression analysis

As part of a study on transportation safety the US Department of Transportation collected data on the number of fatal accidents per 1000 licenses and the percent of licensed drivers under the age of 21 in a simple of 42 cities Data collected over a one-year period follow. These data are available on the CD accompanying the text

Descriptive and Probability Statistics: 15 comprehensive problems

1. (A) Classify the following as an example of nominal, ordinal, interval, or ratio level of measurement, and state why it represents this level: zip codes for the state of Pennsylvania (B) Determine if this data is qualitative or quantitative: Nationality (C) In your own line of work, give one example of a discrete and one ex

Statistics: Regression models; elasticities

See attached data file. G = Total U.S. gasoline consumption, computed as total expenditure divided by price index. Pop = U.S. total population in millions GasP = Price index for gasoline, Income = Per capita disposable income, Pnc = Price index for new cars, Puc = Price index for used cars, Ppt = Price index for public

Regression equation: Size of a home vs other variables (family income, family size, presence of a senior adult parent, years of education)

A real estate developer wishes to study the relationship between the size of a home the client will purchase (in square feet) and other variables. Possible independent variables include the family income, family size, whether there is a senior adult parent living with the family (1 for yes, 0 for no) and the total years of educa

Research Article: Impact of Teamwork on Missed Nursing Care

See attached article. Please briefly describe: Conclusions of the study? Limitations of the study? Variables (i.e, independent/dependent ) What type of study is this? For example randomized, Non randomized, cross sectional, Descriptive? What are the statistical results that led to the conclusion?

Regression Formula: Harry Potter Example

The students in a modern popular fiction class are complaining that every time Rowling writes another book, it gets longer. Their statistics teacher challenges them to show that their complaints are accurate. Using the Harry Potter data below and a 0.05 level of significance, perform a correlation/regression analysis betw

Strengths and weaknesses of correlational and regression studies

1. Discuss the strengths and weaknesses of correlational and regression studies; discuss concepts such as positive and negative correlations, correlation coefficients, confounding, and causality. 2. You read an interesting study in the paper that says that during any given year, statistics show that ice cream consumption an

Statistical Analysis

See attached data file. 2. Sex discrimination. The dataset salary.dat contains salaries and other characteristics of all faculty members of a small college. The data were collected for presentation in legal proceedings in which discrimination against women in salary was at issue. All faculty members represented in the datas

Regression analyses for AIU Job satisfaction data

See attached data file. Prepare a report using Excel as your processing tool to process 3 simple regression analyses. Create a graph with the trendline displayed for each of the 3 different regressions. 1. First run a regression analysis using the BENEFITS column of all data points in the AIU data set as the independent v

Descriptive Analysis: Bivariate Data, Probability Distributions (Discrete Variables)

Please see attachment to view the tables. 1. A bag of colored blocks contains the following assortment of colors: red (15), blue (6), orange (22), purple (14), green (6), and yellow (17). Construct the probability distribution for x. 2. Classify the following as discrete or continuous random variables. (A) The

Financial Analysis with Excel

Please utilize the attach Excel file to respond to the following questions. A . Create an XY (scatter) plot to show the relationship between the returns on AT&T and the S&P 500. Describe, in words, the relationship between the returns of AT&T and the S&P 500. Estimate the slope of a regression equation of this data. Repeat for

Statistics: Correlation Coefficient & Regression Analysis

Please help with the following problem. Provide step by step calculations. Construct a scatterplot for the (x, y) values below, and answer the following questions. x y 1 -10.0 2 -20.0 3 -30.0 4 -40.0 5 -50.0 Q

Regression analysis with graph of trendline for AIU job satisfaction surveys

See attached data file. Use Excel as your processing tool to process 3 simple regression analyses. Create a graph with the trendline displayed for each of the 3 different regressions. First run a regression analysis using the BENEFITS column of all data points in the AIU data set as the independent variable and the INTRIN

Probability Distribution, Correlation & Regression Analysis

The scatter plot below shows the relationship between the day of a particular month a stock was valued and the price of the stock in dollars. The horizontal axis represents the day of the month. Use this graph to answer the questions below. Please see the attachment for the scatter plot. (A) How would you describe the r

Multiple Regression Problems using SAS program: Predict GPA

Variables are: id, a numerical identifier for each student; GPA, the grade point average after three semesters; HSM; HSS; HSE; SATM; SATV; which were all explained in class; and GENDER, coded as 1 for men and 2 for women. 1. Create a new variable called SAT which equals SATM + SATV and run following two regressions:

T-test, ANOVA and Correlation Analysis with Excel

Is there a statistically significant difference between the mean of the total scores between women and men? (Hint: see page 228-231 in stats book) Is there a statistically significant difference between the mean of the total scores between line staff, supervisors and managers? (Hint: see page 263-265 in stats book) Is ther

Statistics: Dr. A. Nova's Multiple Linear Regression

See attached file. Dr. A. Nova conducted a survey to see how well the students performed this semester (measured by their GPA) as a function of their age, gender and course load. The following output shows the first run of multiple linear regression. (note: for Gender, 0 = Male, 1 = Female). (See the Multiple Regression