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Regression Analysis

Analyzing forecasting data

Stanly Smith is in the market for a used car so that he can get to Cascade College to take advanced financial accounting. Based on eye appeal only, he has narrowed his choice to the Smogger, an import from Lapland. The Community Times want ads section lists the following used Smoggers for sale: Smogger Age Price (Years) ($1

ANOVA and Regression Analysis Example

1. Describe what an ANOVA test does. When would you use it and give an example. 2. Regression analysis works with the basic formula of a line, which is Y = mX + b. We can use it to look at causation. Think about the Lemonade Stand Game. Give an example of how you might use Regression Analysis, and include how you would "s

Correlation Coefficients and Regressions

Use the following information to answer questions 1-3: Row 1 | 5 6 5 8 5 3 9 11 10 9 Row 2 | -5.0 -4.0 -3.5 -4.1 -2.4 -2.0 -5.0 -7.2 -5.6 -6.4 1. Using row 1 of the table above for the x-values and row 2 for the y-values, find the value of the correlation coefficient, r. 2. Using row 2 of the table above for the x-values an

Hypothesis Testing, Statistical Inference, and Regression Analysis

1, Explain the difference between the null and alternative hypothesis. Which one can be proven in a statistical sense? 2. What are the differences between one- and two- sample hypothesis tests? Describe the correct mathematical form for specifying the null and alternative hypotheses for both types of tests. 3. Explain Type I

Multiple Regression Results For Fast-Growth Firms

For the 50 states, consider a multiple regression analysis to explain the number of new jobs created, using the number of new firms created and the percentage of fast-growth companies. The variables used are "new jobs" (in thousands), "new firms" (actual number of firms), and pct fast" (in percentage points, so that, for exampl

Find the equation of the regression line for the given data.

Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The table below shows the heigh

Multiple regression predicting GPA

To get an even better model for predicting MBA performance, let's look at many variables. Create a multiple regression model predicting the MBA GPA using the BS GPA, the Hours studied per week, the Gender of the student, whether the student works full-time, and the student's age. Use a .05 significance level. After you create yo

Linear Correlation, Regression Lines and Measures of Variation

1) Testing for a Linear Correlation Construct a scatter plot, find the value of the linear correlation coefficient r, and find the critical values of r from the table below using a=0.05. Determine whether the is sufficient evidence to support a claim of a linear correlation between the two variables. Airline Fares Listed be

Regression Analysis with Excel

I need help constructing a regression analysis. Using the attached spreadsheet and Word Doc help develop the following 3 regressions. Please show what is used as the Y and X ranges and explain the steps. A. Estimate a one factor, or CAPM, regression analysis of the following form: Ri - Rf = ?j + ?i(RM - Rf) B. Estimate

Regression Analysis

The marketing manager of a large supermarket chain would like to use shelf space to predict the sales of pet food. A random sample of 12 equal-sized stores is selected, with the following results (see attachment called PetFood). A. Construct a scatter plot. For these data b0 = 145 and b1 = 7.4 B. Interpret the meaning of th

Conduct a Regresssion Analysis

The regression analysis below relates US annual energy consumption in trillions of BTUs to the independent variable "US Gross Domestic Product (GDP) in trillions of dollars." Which of the following is the lowest level at which the independent variable is significant? Energy Consumption and GDP Source 0.94 0.10 0.05

Estimate the Industry Demand Curve for Product X

Assume your research staff used regression analysis to estimate the industry demand curve for Product X. Qx = 10,000 - 100 Px + 0.5 Y - 1000 r (3,000) (20) (0.3) (105) Where Qx is the quantity demanded of Product X, Px is the price of X, Y is income, and r is the prime interest rate (given in decimals, e.g., 0.02 or 0

find the best prediction model

Resource: Ch. 12-14 of Applied Statistics in Business and Economics Prepare answers to the following assignments: Exercise 14.6 - Time Series Analysis Given the following data on Asian and European Share of U.S. Light Truck Sales(1990-2003): Year t Percent 1990 1 16.4 1991 2 17.1 1992 3 14.3 1993 4 13.7 1994 5 14.2 19

Applied Statistics in Business and Economics

Correlation & Regression Analysis Do heavier cars use more gasoline? If so, can we predict the mileage rating of a car given its weight? Suppose 8 cars were randomly chosen and their weights (in hundreds of pounds) and mileage rating (mpg) are recorded. Weight (x) MPG (y) 27 30 44 19 32 24 47 13 23 29 40 17 34 21 5

Regression Models

Provide some practical examples from work experience where regression models might be used.

Correlation and Simple Linear Regression

1. Find the equation of the regression line for the given data. Predict the value of Y when X=-2? Predict the value of Y when X = 4? 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 the given

Conducting a Linear Regression using R

1. The data for this problem give the infant mortality rate (per 1000 live births) in the United States for the period 1960-1979. (a) Generate a scatterplot for the data in R. Does the plot make sense? (b) Find the estimated regression equation using R, and give the units and real-world interpretations of the regression co

Qualitative variable

Consider the following time series data representing quarterly sales of dishwashers at Big Boys Appliances over the past two years: Time Sales 2010 Quarter 1 20 2010 Quarter 2 85 2010 Quarter 3 64 2010 Quarter 4 30 2011 Quarter 1 70 2011 Quarter 2 125 2011 Quarter 3 105 2011 Quarter 4 90 The scatter plot of the da


Suppose you are given data from a survey showing the IQ of each person interviewed and the IQ of his or her mother. That is all the information you have. Your boss has asked you to put together a report showing the relationship between these two variables. What could you present and why?

Find the linear regression for the time series

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, 8, 9

Regression Line and Confidence Intervals using R

See the attached file. The question asks to fit a regression line for an independent variable and its dependent variable response. Data needs to be plotted in R (with code) and regression line. Confidence intervals for different responses is also needed. Here X is the predictor (independent variable), and Y is the respon

Scatter Plots, Pearson's Correlation, Regresssion

Question 1 Show us a scatterplot between two interval level variables. (Use Excel to chart them.) Are the results bunched together or far apart? Is the relationship linear? Is the relationship non-linear? Is there no apparent relationship between the two variables? Question 2 We use Pearson's correlation coefficie

Developing the Estimated Regression Line

Jensen Tire & Auto is in the process of deciding whether to purchase a maintenance contract for its new computer wheel alignment and balancing machine. Managers feel that maintenance expense should be related to usage, and they collected the following information on weekly usage (hours) and annual maintenance expense (in hundred

Regression Analysis / Standard Deviation : New Car Sales

1. The data in the excel spreadsheet linked below give the seasonally adjusted value of total new car sales (in millions of dollars) in the United States, total national wage and salary disbursements (referred to here as compensation) (in billion dollars), and the employment level in the non-agricultural sector (in thousands) fo