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Correlation and Regression Analysis

Predicting Life Expectancies from Birth Rates

See the attachment for full problem description. Might we be able to predict life expectancies from birthrates? Below are bivariate data giving birthrate and life expectancy information for each of twelve countries. For each of the countries, both, the number of births per one thousand people in the population, and, the fem

Solving a Simple Regression Problem

The material is from A SIMPLE REGRESSION PROBLEM. Please use any computer software to solve the problem if you want. Please provide the evidence of your work and explain your solution. Thank you.

Inferential Statistics and Regression Equation

A computer utility was applied to the data collected in a study of generalized health index as a function of weight/height ratio, cholesterol and average nightly sleep. Part of the output is shown below. Find the regression equation. Predictor Coef SECoef T P constant 60 6.431

Least-Squares Method and Coefficient of Determination

The director of graduate studies at a large college of business would like to predict the grade point average (gpa) of students in an MBA program based on Graduate Management admission test (GMAT) scores. A sample of 20 students who had completed 2 years in the program is selected. The results are as follows: Observation G

Pearson's Correlation Coefficient and Regression Equation

The following table represents data involving direct labour costs (in Rands) and the batch size (in units) produced by a small manufacturing concern that specialises in a single product. BATCH SIZE (units) LABOUR COSTS (Rands) 15 200 18

Linear optimization using MS Excel Solver in practice prob

Benz-Merc Cars produces four classes of cars: subcompact, compact, intermediate and luxury. BM also produces trucks and vans. Vendor capacities limit total production capacity to at most 1.2 million vehicles per year. Subcompacts and compacts are built together in a facility with a total annual capacity of 620,000 cars. Intermed

Excel Problem

The problem is attached, it is number 19.2.11. For this problem I have to do all the steps but i have to do it not just for the linear trend but also estimate the quadratic, exponential and auto-regressive. There are specific equations for those equations. If you need more information just let me know. You do this by using data-

Racial Attitude and Socialization Study

Assume that another counselor decided to extend the aforementioned study by collecting data on 14 children. His study yielded the following results: Racial Attitude and Preference Test Scores (X) 2 4 2 5 7 8 12 14 14 16 18 18 20 20 Racial Socialization Test Scores (Y) 4 6 8 10 14 12 14 11 16 10 12 6 6 4 Calculate and in

Y Intercept

A counselor is interested in determining if there is a relationship between children's scores on the racial attitude and preference test and their scores on the racial socialization test. She sampled a group of 10 children yielding the following results: Racial Attitude and Preference Test Scores (X) 8 7 9 5 10 2 5 7 6 12 R

Predict the mean grade for students who turn in papers weighing 6 ounces.

Assume that the correlation is high enough to allow for reasonable prediction. The secretary of Gamma Gamma Gamma fraternity has done some research on the grading practices of Professor Neumann's classes, he has assembled the following data: mean weight of papers = 8.3 ounces, mean grade = 76.6, r = 0.84, and b = 5.8. Predict

Linear Programming Problem: The Friendly Family

On their farm, the Friendly family grows apples that they harvest each fall and make into three products- apple butter, applesauce, and apple jelly. They sell these three items at several local grocery stores, at craft fairs in the region, and at their own Friendly Farm Pumpkin Festival for two weeks in October. Their three prim

Exponential model for network growth, Compound growth rate

I want you to locate data that can be effectively modeled using an exponential function. Check the scatterplot to be sure that your data is appropriate for an exponential model! Please include the following components: 1. A data table showing your original data, with a reference to the original source of the data. The refere

Business Income After 6 Years

Started plotting my business income 5 years ago in 1997. I do it quarterly because later on I want to check for the seasonal variation. My regression equation is: Income = $2300.00 + 150t t = time in quarters (3months = quarter) What kind of fortune (income) should I expect to rake in by the end of year 2003? This is a

Solving for the correlational value

This paragraph is from an article I am studying. I am suppose to know how to generate and explain a correlational value by this data. During the 10-month period during which these six exposures were detected, a total of 2,316 general anesthetics using isoflurane or desflurane were delivered in operating rooms monitored by ma

Modeling of online purchase of piggybank

DETAILS: Prepare an analysis (NOT in the ppt format) for Piggybank that compares the two incentive options: A. cash back when the consumer makes an online purchase, and B. cash back when the consumer makes a purchase at a clothing store. See the attached pdf file and use the statistical information data from 2004 2nd quar

Density functions

(See attached file for full problem description with proper equations) Given , x > 0, y > 0, find (a) the marginal density functions, (b) the conditional density functions, (c) the curve of regression of Y on X.

Interpreting Estimated Model Coefficients

Please assist in answering the following questions and see attachment**** 1. Interpret the estimated model coefficient b1 2. Interpret the estimated model coefficient b2.

Statistics - Quantative

The transportation method is a linear programming technique where linearity can be found in the following way: a. the cost of goods shipped from any source to any destination is a linear function of quantity shipped b. the total cost associated with a given plan is a linear function of shipping costs c. cell evaluations assum

Sample Statistics and Coefficients Problems

Suppose that you are interested in examining the determinants of the use of plea bargaining by state prosecutors. During a one-month period, you record for each state in the US (1) the number plea bargains per 1,000 cases (y), (2) the average number of cases per prosecutor (x1), and (3) the average number of empty beds in the st

One of the most common uses of C and R is in the marketing department.

One of the most common uses of C and R is in the marketing department. Specifically, it is used to do alot of sales forecasting. In the business world, sales is sales of products or services and in health care, sales would probably be considered patient services. A more common independent variable often used is Advertising

Least Square Trend Equation

Determine the least squares equation. According to this information, what are the estimated sales for 2005? Listed below is the net sales in $ million for Home Depot, Inc. and its subsidiaries from 1993 to 2002. Determine the least squares trend equation. Estimate the amount of scrap for the year 2005. Year Net Sales

The Personal Consumption Expenditures for Telephones

The personal consumption expenditures for telephone, in billions of dollars, in the United States for the year 1996 to 2001 are given below. Determine the least squares equation, and estimate the expenditure for 2004. Year Code Expenditure ($billions) 1996 1

Mutual Bond Funds and Investment

We are studying mutual bond funds for the purpose of investing several funds. For this particular study, we want to focus on the assets of a fund and its five-year performance. The question is: Can the five-year rate of return be estimated based on the assets of the fund? Nine mutual funds were selected at random, and their asse