Seeking a regression analysis on the two pro football team player salaries.... Arizona Cardinals Year Median salary Total Payroll 2006 $ 710,000 $ 105,685,931 2005 $ 455,070 $ 76,539,161 2004 $ 621,424 $ 78,961,345 2003 $ 652,800 $ 81,034,928 2002 $ 383,165 $ 66,967,535
A sample of 12 homes sold in St.Paul, Minnesota, is selected. Can we conclude that as the size of the home (reported below in thousands of square feet) increases, the selling price (reported in $ thousands) also increases? Use the MegaStat Scatterplot function in Regression or the Excel Chart Wizard to create a scatter plot, an
1. In a study of foreign holding in U.S. banks, year-end share of assets in U.S. banks held by foreigners (as a % of total assets) was related to: X1 = Annual change, in billions of dollars, in foreign direct investment in the U.S. (excluding finance, insurance, and real estate) X2 = Bank price-earnings ratio X3 = In
1. A car maker developed a new engine and wants to recommend the grade of gasoline to use. The four grades are: below regular, regular, premium and super premium. The test car made 3 trial runs on the track using each grade. Assuming any grade can be used at 0.05 level, what is the critical value of F for the acceptance/rejec
A manufacturer of summer clothing has generated the following regression model for forecasting the number of pairs of walking shorts (in hundreds of thousands) that will be sold during the next few quarters: See attached file for full problem description. ^/Yt=4.4+0.13t-0.44Q1+0.88Q2+1.32Q3 Where Q1, Q2 , Q3 and are
1. The difference between the maximum and minimum observations in the sample is called A. Sample Data B. Sample Mean C. Sample Range D. Sample Interval 2. The area under the normal curve between z=0 and z=1 is ___ the area under the normal curve between z=1 and z=2. A. Less than B. Greater th
The Cadet is a popular model of sport utility vehicle, known for its relatively high resale value. The bivariate data given below were taken from a sample of fifteen Cadets, each bought "new" two years ago and each sold "used" within the past month. For each Cadet in the sample, we have listed both the mileage, (in thousands of
The Bradford Electric Illuminating Company is studying the relationship between kilowatt-hours (thousands) used and the number of rooms in a private single-family residence. A random sample of 10 homes yielded the following: NUMBER OF KILOWATT ROOMS HOURS 12 9 9 7 14 10 6 5 10 8 8 6 10 8 10 10 5 4 7 7 a. Dete
1. Use the following time-series data to answer the given questions. Time Period Value Time Period Value 1 27 6 66 2 31 7 71 3 58 8
1. How can correlation and regression analysis be used to make strategic decisions in a dynamic competitive business environment filled with risk and uncertainty (Consider the relations, either descriptive or predictive that can be accomplished with correlation regression analysis)? 2. What is the difference between a descri
Since all the Hawkins Company's costs (other than advertising) are essentially fixed costs, it wants to maximize its total revenue (net of advertising expenses). According to a regression analysis (based on 124 observations) carried out by a consultant hired by the Hawkins Company, Q = -23 - 4.1P + 4.2I + 3.1A where Q is
1) A survey was conducted at a university. 30 students randomly selected and asked if they watched football. Their answers (Y=yes, N=no) and their sex (M=male, F=female) follows: Viewing:YNNYYYNYYNYNNYYYNNYNNYNNNYNYNN Sex :MFFMFFMMFMMFFMFMMFMMFMFFFFFMMF Test the hypothesis that "watching football" is independent of "
A market analyst for the Weber Refrigerator Company has visited various appliance stores in a city to get data on the selling price of different brands of refrigerators. Use the following data to help determine whether the selling price in dollars is linearly related to the volume in cubic feet of the refrigerator. Price V
The selling price of a used car is inversely(or negatively) related to the age of the car. That is, as the age increases, the selling price tends to decrease. The following table shows data for 10 cars of a certain make and model : Selling Price (In Dollars) Age (In years) (Y) (X)
Interpret the following results of multiple regression. Interpret each statistic (b and beta) for each independent variable and the intercept. Provide a complete interpretation using the five-step model of hypothesis testing (25 points). Regression: The Relationship Between Number of Math Courses Taken, High School Grade Po
The half-life of aminoglycosides was measured on 43 patients given either Amikacin or Gentamicin. The data are reproduced in a different form in Table 7.21. (A) Perform a regression to estimate HALF-LIFE using DO_MG_KG for each type of drug separately. Do the drugs seem to have parallel regression lines? (B) Perform the a
A company that manufactures computer chips wants to use a multiple regression model to study the effect that 4 different variables have on y, the total daily production cost (in thousands of dollars). Let denote the coefficients of the 4 variables in this model. Using 19 observations on each of the variables, the software pr
Computing the sample correlation coefficient and the coefficients for the least-square regression line
The Cadet is a popular model of sport utility vehicle, known for its relatively high resale value. The bivariate data given below were taken from a sample of sixteen Cadets, each bought "new" two years ago and each sold "used" within the past month. For each Cadet in the sample, we have listed both the mileage, x (in thousands
To help schedule staffing and equipment needs, a large hospital uses a multiple regression model to predict its 'bed census' y, the number of beds occupied at the end of each day. Using hospital records from the most recent 30 days, a total of 3 independent variables are used to find the estimated regression model. Let B1, B2
Participants completed two personality instruments. The results are identified below. Participant First Instrument(X) Second Instrument (Y) 1 2 2 2
What is the significance of the error term in the regression equation?
I. B0 (beta sub zero) = population intercept ii. B1 (beta sub one) = population slope iii. e (epsilon) = random error iv. r = coefficient of correlation v. r2 (r-squared) = coefficient of determination vi. Independent variable vii. Dependent variable
I am working to develop an equation for Y that is based on up to 10 different X variables. I am trying multiple regression. What I need to know is what tests I run to determine the suitability of the model? For example how do I determine if simple, linear regression is suitable or if I need to try a different, non-linear form?
A sales manager for an advertising agency believes there is a relationship between the number of contacts and the amount of sales. To verify this belief, the following data were collected: Salesperson # of Contacts Sales (000) 1 14 24 2 12 14 3 20 28 4 16 30 5 46 80 6 23 30 7 48 90 8 50 85 9 55 120 10
O Perform some quick research (likely on the web) to describe color, quality, and certification of diamonds. o Respond to the following (based on the data in the Excel file) and support each with some reference to a statistical tool or graphical analysis. (1) If someone wanted a large but inexpensive diamond, what col
1) If the Z-value is used to test a null hypothesis that the population mean equals a given number, large positive and negative values of Z will lead to a rejection of H0. TRUE OR FALSE. 2) In a two-tailed hypothesis (large sample), test the test statistic is determined to be -2.5. The p-value for this test is _____________ 3)
Economics - Demand Problems/Calculations. See attached file for full problem description. 1. Assume you have to analyze the following data provided to you from the Accounting Department. a) From Column A and E in the demand schedule above, what is the price elasticity of demand when our price is between $1600 and $1450 per u
1. What are the assumptions and requirements for an LP model to be formulated and used? Under what conditions will an LP problem: be unbounded? be infeasible? have more than one optimal solution? 2. The administrator of a large hospital made the state, "I would like to use LP, but it's a technique that operates under co
Problems on the Spearman rank correlation coefficient, statistical decision theory, multiple regression, Chi -Square, time series analysis, nonparametric statistics, quality control, etc.
1. You are a corporate inspector for an organization with 10 manufacturing plants, and you are interested in determining how well each plant audit score correlates with injury experience. The individual plant audit scores and their injury frequency rates for the year, along with their respective rankings, are tabulated in the fo
The following data give the yield, Y, per plot of land depending on the quantity of the fertilizer used, X1, and the number of inches of rainfall, X2. Compute the two equations that you would use to establish "y-hat" for this problem. Use formulas and show your work versus using a statistical software program. Yield per Plo