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Regression Analysis

What is the importance and purpose of using regression analysis?

Hello. Could you please provide your feedback to these Statistics questions? Thanks. ----------------------------------------------- 1 - Give the meaning (define) of: Reliability of a sample: Validity of a sample: Practicality of a sample: Precision of a sample: Accuracy of a sample: Why should we be concerned about the

Normal Distribution

The CEO has asked you for a report, based on his desire to have a 95% level of confidence, whether the target market will have a product satisfaction score of at least 4.5. A sample of 20 adults from the target market had an average score of 4.7, with a standard deviation of 0.25. Using a t-test, and assuming a fairly normal dis

Correlation Analysis of Wal-Mart vs. Sears

Using Microsoft Excel, create a correlation analysis of Wal-Mart's annual net income over the past 10 years compared with Sears's annual net income over the past 10 years and interpret the results. Do both companies' net incomes fall during a recession? Using Microsoft Excel, create a multiple regression equation that expl

Regression Analysis - Prob and Stats Question

The question is enclosed. Thanks again for your help! You have run a regression model to try to predict house prices (in thousands of dollars) as a function of the size (in square feet), the number of bedrooms, and whether the house has a pool (1 if yes; 0 if no). Partial output from the solution is shown below. Multiple R

A national trade association is concerned with increasing competition from foreign companies. They decide, in close consultation with their membership, to evaluate the sales performance of 25 randomly selected U.S. companies, so that all companies can benefit from their collective experience.

A national trade association is concerned with increasing competition from foreign companies. They decide, in close consultation with their membership, to evaluate the sales performance of 25 randomly selected U.S. companies, so that all companies can benefit from their collective experience. The associationâ??s research direc

Interpret Multiple Regression Output: Description and Point Estimates

Municipalities and states have been asked by the Department of Energy to assess their energy requirements for each of the alternative fuels. In particular, they have decided to focus initially on natural gas, given the enormity of U.S. reserves and its relative cleanliness. Following are the data and output for selected munic

Skaff Appliance Company: Analyze sales by location

See attached file for proper format. The Skaff Appliance Company currently has over 1,000 retail outlets throughout the United States and Canada. They sell name brand electronic products, such as TVs, stereos, VCRs, and microwave ovens. Skaff Appliance is considering opening several additional stores in other large metropolit

Statistics: Using the Regression Equation

A regression equation was estimated for result X=20 to 50 and Y= 200 to 500. Using the regression result Y=4X+150 a. predict Y if X is 51 b. predict Y if X is 80 c. Which of the above results might be suspect, and why?

4 basic assumption of multiple regression analysis

The appropriate use of multiple regression depends on being able to make four basic assumptions about the data being used to develop the regression model: that variables are normally distributed; that the relationship between an independent variable and the dependent variable is linear that the variance of errors is homos

The Zebra Wild Game Company Linear Regression Analysis: Sales and advertising

See attached file. The Zebra Wild Game Company sells exotic game to high end restaurants throughout Asia. The sales manager wants to determine what, if any, relationship exists between the pounds/week of game sold by 24 sales persons and the advertising dollars spent (in hundreds of dollars/week). Attached is the Minitab

Simple Linear Regression Analysis

See attached file. The Abalone Fancy Fish Company sells exotic fish to high end restaurants throughout the West Coast. The sales manager wants to determine what, if any, relationship exists between the pounds/week of fish sold by 24 sales persons and the length of time (in years) the sales person has been with the company.

Standard error of estimate of regression coefficient

See attached file. The Zebra Wild Game Company sells exotic game to high end restaurants throughout Asia. The sales manager wants to determine what, if any, relationship exists between the pounds/week of game sold by 24 sales persons and the advertising dollars spent (in hundreds of dollars/week). Attached is the Minitab

Simple Linear Regression Analysis for Aabalone Fancy

See attached file. The Abalone Fancy Fish Company sells exotic fish to high end restaurants throughout the West Coast. The sales manager wants to determine what, if any, relationship exists between the pounds/week of fish sold by 24 sales persons and the length of time (in years) the sales person has been with the company.

Regression Model: Natural Gas Consumption vs Temperature

See attached file. A very broad consensus has emerged around the proposition that global warming is a reality with likely serious global consequences. Many energy economists and political leaders are advocating a multipronged approach to providing alternative energy, including nuclear, natural gas, clean coal, and renewable

Linear Regression for 42 inch plasma televisions by brand

See attached data file. Consumer Reports provided extensive testing and ratings for more than 100 HDTVs. An overall score, based primarily on picture quality, was developed for each model, In general, a higher overall score indicates better performance. The following data show the price and overall score for the ten 42 inch p

Statistics: 10 multiple questions

See file attached for proper format. 1. Suppose that a researcher wishes to determine whether there is a linear relationship between weight and blood pressure in a sample of older persons in the community. Which statistical methods would most likely be employed to answer this question? a) Independent sample t-test b) One-wa

Regression Analysis: IRS Audit

See the attached data file. The Transactional Records Access Clearinghouse at Syracuse University reported data showing the odds of an Internal Revenue Service audit. The following table shows the average adjusted gross income reported and the percent of the returns that were audited for 20 selected IRS districts. Instruct

Regression Analysis

The following data show the annual revenue ($millions) and the estimated team value ($millions) for the 32 teams in the National Football League (Forbes website, February 2009). Please use Excel.file attached. Answer the following: 1. Write the regression equation, 2. Interpret the regression constant and regressi

Test whether age is a variable between education and hours worked

Please note that more information is in the attached document. However, here is the question: Provide your findings of this analysis as you would in a research report. Be specific in your analysis - start from the larger portion of the analysis and move to specifics. Restate the RQ; provide descriptive analysis (not ne

Statistics

DATA: Day 1: 45 mins. Day 2: 37 mins. Day 3: 49 mins. Day 4: 53 mins. Day 5: 41 mins Day 6: 43 mins Day 7: 31 mins. Day 8: 46 mins. Day 9: 39 mins. Day 10: 43 mins Day 11: 47 mins Day 12: 39 mins Day 13: 53 mins Day 14: 42 mins Day 15: 39 mins 1. Divide your data in half, your first 8 observations

ANOVA & Least Squares Problems

See data is on the attached file. 1. Find the equation of the regression line for the given data. 2. The data below are the final exam scores of 10 randomly selected statistics students and the number of hours they studied for the exam. Find the equation of the regression line for t

Statistics: Multilinear regression

Using the attached documents: a. Summarize the key facts of the case including a description of the dataset (number of cases, what the independent variables are and what the dependent variable is, whether the data are a sample or a population. b. Describe in very plain language the descriptive and inferential analytical te

Regression Analysis in SPSS - Sportswear

See attached file for data. A sportswear manufacturer wishes to investigate the relationship between level of advertising, coupon value and sales. The manufacturer advertises several times a month and includes a manufacturer coupon (in dollars) with each advertisement. The value of the coupon remains the same in a month but v

Car's mileage and the sales price for a Honda Accord

The cost of a previously owned car depends upon factors such as make, model, year, mileage, condition, and whether the car is purchased from a dealer or from a private seller. To investigate the relationship between the car's mileage and the sales price, data were collected on the mileage and the sale price for 10 private sales

Regression Analysis Calculation and Interpretations

The following data are the grade point averages x and the monthly salaries y for students who obtained a bachelor's degree in business administration with a major in information systems. The estimated regression for these data is by = 1790:5 + 581:1x. GPA Monthly Salary 2.6 3300 3.4 3600 3.6 4000 3.2 3500 3.5 3900 2.9

Regression Model: Predict beer sales when the company spends on 12 advertisements

See attached file. The price of the 'Spirit of the Devil' brand beer fluctuates from month to month due to the change in raw material prices and other factors. The company that sells this beer also advertises several times a month. The company wishes to investigate the impact of price and advertising on beer sales and collec

Regression Model: Estimate expected sales using coupons in newspaper advertising

See attached file. A consumer packaged goods company puts out several advertisements every month in the local news paper and includes a discount coupon with the advertisements. The company has collected data on the number of advertisements it ran for the last 12 months as well as the dollar value of the coupon offered in e

Price of steak per pound to total sales of steak in a week

A meat processing company is interested in understanding the relationship between the price of their steak (per pound) and the total sales of steak in a week. The company records the average price charged (in dollars) per pound of steak and the total sales (in thousands of dollars) per week for 15 weeks. Run a simple linear reg