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Regression Analysis

DISCUSION BOARD

Deliverable Length: 1 page Answer the following questions separately and completely: 1-Describe ways in which the use of MS Excel as a tool for interpreting data can be used by a manager of an organization. 2-What potential legal and ethical issues could arise if the information gained in this survey was used to

Time Series Analysis Explained

(Please see attached) 7.) Sally's Software is growing rapidly and the supplier of the software to a lage area of the country. Sales have grown as shown in the table: Year Sales ($ millions) 1999 1.1 2000 1.5 2001 2 2002 2.4 2003 3.1 a.) Plot the data and add the trend line. b.) Compute t

Regression Hypothesis Testing

The hypothesis statement is that there is a relationship between league salaries and the number of wins. Perform a regression hypothesis test on the data - with graphs and tables in Excel. Interpret the results of the regression hypothesis test. I am attaching a spreadsheet with the data sets that contain the wins and the sal

ANOVA tables for regression

13.3 Refer to the ANOVA table for this regression. (a) State the degrees of freedom for the F test for overall significance. (b) Use Appendix F to look up the critical value of F for α = .05. (c) Calculate the F statistic. Is the regression significant overall? (d) Calculate R2 and R2 adj, showing your formulas clearly.

Regression Estimates using Megastat

Instructions for Exercises 12.25-12.27: (a) Use Excel's Tools > Data Analysis > Regression (or MegaStat or MINITAB) to obtain regression estimates. (b) Interpret the 95 percent confidence interval for the slope. Does it contain zero? (c) Interpret the t test for the slope and its p-value. (d) Interpret the F statistic. (e) Ve

Regression Analysis : Interpretation of slope

12.8 (a) Interpret the slope of the fitted regression Sales = 842 − 37.5 Price. (b) If Price = 20, what is the prediction for Sales? (c) Would the intercept be meaningful if this regression represents DVD sales at Blockbuster? 12.9 (a) Interpret the slope of the fitted regression Home Price = 125,000 + 150 Square Feet.

Correlation analysis in Megastat

Instructions for Exercises 12.4-12.6: (a) Make a scatter plot of the data. What does it suggest about the correlation between X and Y? (b) Use Excel, MegaStat, or MINITAB to calculate the correlation coefficient. (c) Use Excel or Appendix D to find t.05 for a two-tailed test. (d) Calculate the t test statistic. (e) Calculate

Plotting Data, Trend Model, and Forecasting: Example Problem

(a) Choose one category of consumer credit and plot it. (b) Describe the trend (if any) and discuss possible causes. (c) Fit a trend model of your choice. (d) Make a forecast for 2004, using a trend model of your choice. Note: Revolving credit is mostly credit card and home equity loans, while non-revolving credit is for a

Advanced Demand Analysis for Managers

Please see attached document with discussion questions and integrating problem. Valerie Smith Managerial Economics 18 January 2009 CHPT 3 AND 4 Chapter 3 question #11 on page 127 11. Suppose that the cross-price elasticity of demand between McIntosch and Golden Delicious apples is 0.8, between apples and apple juice i

Time Series: Forecasting

Consider the following data that was fitted using a Linear Trend. Period Actual Value Period Number (or)Y (or) X Period 1 10 1 Period 2 11 2 Period 3 9 3 Period 4 12 4 Period 5 13 5 Period 6

Multiple Regression, Chi-square test statistic

1. A multiple regression analysis includes 25 data points and 4 independent variables results in SST = 200 and SSR = 150. the multiple standard error of estimate will be? 2. A professor claimed that the proportions of grades in his classes are the same. A sample of 100 students showed the following frequencies: grade

Reading a graph and interpreting a regression equation.

Interpret the attached graph. 2. Using the graph below, discuss how well you believe the model represents the data. Discuss the impact of that data point that appears at (5000, 3250). What would happen to the line if that point had been at (5000, 1000)? How would that impact the interpretation of the line of regression?

Linear Trend

Fit a linear trend equation to the following data describing average hourly earnings of US production workers. What is the trend estimate for 2010? Year: 2001 2002 2003 2004 Average Hourly Earnings: $14.53 $14.95 $15.35 $15.67 2. The following date show residential and commercial

Multiple and Partial Regression Analysis

For the multiple regression equation y = 100 + 20x1 + 3x2 + 120x3: a. Identify the y-intercept and partial regression coefficients. b. If x1 = 12, x2 = 5, and x3 = 10, what is the estimated value of y? c. If x3 were to increase by 4, what change would be necessary in x2 in order for the estimated value of y to remain uncha

Data Least Squares Regression Calculation

For a set of data, the total variation or sum of squares for y is SST - 143.0 and the error sum of squares is SSE = 24.0. What proportion of the variation in y is explained by the regression equation? 2. A. Determine the least squares regression line and calculate r. B. What proportion of the variability in steel

Regression hypothesis test

Major League Baseball Data Set. Stolen Bases verses Team wins. I need to create a simple linear regression line in excel. SB Wins 45 95.0 84 95.0 31 88.0 83 74.0 161 95.0 62 93.0 137 99.0 72 80.0 102 83.0 151 67.0 67 79.0 66 71.0 102 69.0 53 56.0 92 90.0 67 77.0 115 89.0 72 73.0 153 83.0 73 67.0 58 71.0

Regression analysis for oxygen consumption in R.

Data is from a study carried out at NC State University in order to determine the relationship between oxygen consumption, a measure of aerobic fitness, and several other variables related to physical fitness among n=31 runners.

Regression analyses using Excel data analysis add-in

Details: Using Excel as your processing tool, work through three simple regression analyses. First run a regression analysis using the BENEFITS column of all data points in the AIU data set as the independent variable and the INTRINSIC job satisfaction column of all data points in the AIU data set as the dependent variable.

Relationship Analysis in SPSS

Enter the following data in an SPSS Data spreadsheet. Be sure to insert your variable labels and names. Analyze the relationship between class rank and GPA for the second grading period of school.

Using Excel - Work through 3 Regression Analysis

Please use Excel as your processing tool to work through three simple regression analyses, using the attached Data Set. 1. First run a regression analysis using the BENEFITS column of all data points in the attached data set as the independent variable and the INTRINSIC job satisfaction column of all data points in the attac

Descriptive Statistics, Regression Analysis, and Prediction

1) Using the Water use data set (under Course Materials Forum) analyze the data using Excel, MegaStat or whatever statistical software you prefer and report in proper statistical form/jargon about the dataset. (See attached) 2) Using the Water use data set analyze the data using Excel, MegaStat or whatever statistical softwa

Regression Analysis with Excel using Benefits

Using Excel as your processing tool, work through three simple regression analyses. First run a regression analysis using the BENEFITS column of all data points in the AIU data set as the independent variable and the INTRINSIC job satisfaction column of all data points in the AIU data set as the dependent variable. Create a

Equation of the Regression Line

Nancy Giggles has not been doing well on statistics examinations. She decides to sample 12 of her friends to determine the number of hours spent studying for Test 3 and the score out of 100 received on that test. The results: Test 4 Score Hours of study 47 7 55 10 87 39 98 43 37 2 71 12 100 51 98 48 85 23 82 26

Linear regression problem

In a study of foreign holdings in the U.S. banks, year-end share of assets in U.S. bank subsidiaries held by foreigners (as a percentage 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-earn

Data Set

Perform a regression hypothesis test on the data. It is base on Literacy, Unemployment, and Life Expectancy.