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Regression Analysis

Non-linear Models

I would like to check my answers against the following questions: Referring to the data, tomyld2.xls, discussed in the square-root regression model. Using EXCEL, PHStat2 or other statistical program/means answer the following: When applied a quadratic term on fertilizer and performed the quadratic regression analysis,

Biostatistics logistic model with three variables

Please solve the following pb: In a paper that appeared four years later, Halperin et al. [1971] reexamined the Framingham data analysis by Truett et al. [1967] using a logistic model. Halperin et al. analyzed several subsets of the data; for this problem we abstract the data for men aged 29 to 39 years, and three variables

Logistic regression in bio statistics

Use the attached table to solve the following problem For the logistic regression model logit(Ã?â?¬) = Ã?± + Ã?²X, where X is a dichotomous 0ââ?¬"1 variable, show that exp(Ã?²) is the odds ratio associated with the exposure to X. Note: Needs SPSS v19 to view output .sav and .spv files

Regression

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?

Quantitative Analysis and Data Management

The problem set has been attached. It has to do with Regression and forecasting. Create a graph of Sales over this time period (Quarter 1 of 1986 through Quarter 1 of 2001) What do you see happening to Coca Cola sales over this time period? Run a simple linear regression of Sales on Time Period (recode the time period v

Regression Coefficient Values

Road Construction is considering two suppliers to deliver 10,000 concrete pillars for their next construction project. The two suppliers are geographically dispersed and the management believes the proximity to Road Construction plays an important role in delivering the pillars on time. Another important characteristic is the sc

equation and explanation

given the following data x 3, 1, 4, 4, 5 y 2 -2, 5, 4, 8 Determine SSxx, SSxy, SSyy

Multiple Regression

BC LUMBER is trying to obtain a better prediction on the volume of its trees. A sample of trees of various diameters were cut and the diameters, heights and volumes were recorded. The results are given below. DIAMETER: Diameter in inches at 4.5 feet above ground level HEIGHT: Height of the tree in feet VOLUME: Volume

See attachment.

Regression Analysis solution

The following data gives the annual rent per square foot for office space (X in \$) and the associated occupancy rate (Y as a %). X Y 12 83 17 77 9 92 15 82 11 88 7 90 19 75 10 90 13 83 14 78 16 75 8 91 Please Use Minitab 1. Generate a scatterplot fo

Applied Statistics Health Care

Objectives are focused on Correlation/Regression and Chi Square Please refer to Correlation/Regression and Chi Square Excel Worksheet attached and provide the answer to the questions in the Excel document format.

Multiple least squares are assessed.

1. Suppose that a researcher, using wage data on 250 randomly selected male workers and 280 female workers, estimates the OLS regression Wage = 12.52 + 2.12 male ; R^2 = 0.06 ;? = 4.2 and (0.23) (0.36) where the quantity in parentheses is the standard error of the estimated coefficient. wage is measured in do

Regression Model to Estimate Electrical Loads

Dear OTA â?" I need a solution or method to estimate the hourly electrical load for the State of Georgia during 1994, using Regression Modeling Techniques. Given will be Excel tables that provide Georgiaâ??s actual hourly weather and average electrical load for the years 1992 and 1993 (9293w_ld) and Georgiaâ??s actual

Statistics

Need help in working out the problems attached so that I can do the rest, thanks.

Calculation of Significance of Slope and Confidence Interval

In New Jersey, Banks have been charged with withdrawing from countries having a high percent of minorities. To substantiate this charge, P.D. Ambrosio and S Chambers (1995), present in the data in shown at the bottom: A.) Determine if there is significant relationship between X and Y. B.) Describe the exact nature of any r

Regression analysis for BC Lumber trees using volume and diameter

See attached data file. BC LUMBER harvests trees throughout the U.S. and Canada. They need to be able to estimate the amount of timber in a given area of forest. More specifically they need a quick and easy way to determine the volume of any given tree. Unfortunately, it is difficult to measure the volume of a tree directly.

Regression Analysis Interpretations

See the attached file. 1) Blay mount Amateur Dramatic Society is staging a play and wants to know how much to spend on advertising, by getting a better understanding of the relationship between advertising and attendance. For the past 11 productions they have recorded their spending on advertising (in \$) and the size of their a

Regression and Correlation Analysis.

Using MINITAB perform the regression and correlation analysis for the data on CREDIT BALANCE (Y) and SIZE (X) by answering the following. 1. Generate a scatterplot for CREDIT BALANCE vs. SIZE, including the graph of the best fit line. Interpret. 2. Determine the equation of the best fit line, which describes the relation

Psychological Statistics questions on regression

1. Explain the difference between a standard deviation and the standard error of estimate 2. Given the regression line in the graph below for question #11 on pg. 160. (scan 3 file attachment) (part 2) draw the regression line for a = -2 and b = -.24 3. To determine the relationship between speed and precision in driving

Computing Multiple Regression Analysis

Must see attachment for number 2. 1) What are the components of a time series? What external factors might affect each of the different components? In number 2, I need assistance step by step details in understanding how to work statistics problems in words of interpretation (that helps explain the results and what it r

Logistic Regression vs. Sequential Least Squares Regression

In considering doing a logistic regression using the Enter method, it was suggested that I may want to consider doing a sequential LSR or stepwise logistic regression instead. What exactly are the advantages and disadvantages of each of these options, and what criteria should I use in order to decide which method is best?

Statistics/Econometrics - Regression Models for wage, age, gender, union, education.

See attached data file. 6.28. Based on the Current Population Survey (CPS) of March 1995, Paul Rudd extracted a sample of 1289 workers, aged 18 to 65, and obtained the following information on each worker: Wage = hourly wage in \$ Age = age in years Female = 1 if female worker Nonwhite = 1 if a nonwhite w

REGRESSION ANALYSIS

Using AIUââ?¬â?¢s survey responses from the AIU data set, complete the following requirements in the form of a report: TEST #1: Regression Analysis- Benefits & Intrinsic Perform the following Regression Analysis, using a .05 significance level ââ?¬¢ Run a regression analysis using the BENEFITS column of all data p

Regression Analysis for Job Satisfaction Survey Data

Using the data set below complete the following: TEST #1: Regression Analysis - Benefits & Intrinsic Perform the following Regression Analysis, using a .05 significance level. 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 satisfa

Help wiht regression analysis

Regression Analysis Using the data set below complete the flowing. TEST #1: Regression Analysis- Benefits & Intrinsic Perform the following Regression Analysis, using a .05 significance level ââ?¬¢ Run a regression analysis using the BENEFITS column of all data points in the AIU data set as the independent variable and

Statistics for gasoline prices: Time series plt, exponential trend forecasting

See attached file. Are gasoline prices higher during the height of the summer vacation season? The table stored in the file unleaded.xls contains the mean monthly prices (in dollars per gallon) for unleaded gasoline in the United States from 2000 to 2005. a) Construct a time series plot b) Develop an exponential tren

Regression Analysis

*****I need helllllllp. Attach is the data key, the data tool and the template. It has to be Original not copied because they change the data numbers each session so whatever is in the library will not work for this assignment. ***** I will need help with the Interpretation of the numbers and the conclusion. How can

Linear

You want to develop a model to predict the selling price of homes based on assessed value. A sample of 20 recently sold single-family houses in a small city is selected to study the relationship between selling price (in thousands of dollars) and assessed value (in thousands of dollars). The houses in the study were assessed at

Linear Analysis to Predict Selling Prices of Homes

See attached data file. You want to develop a model to predict the selling price of homes based on assessed value. A sample of 20 recently sold single-family houses in a small city is selected to study the relationship between selling price (in thousands of dollars) and assessed value (in thousands of dollars). The houses in

Time Series Analysis.

See attached table. A major construction company is very dependent upon reliable labour to ensure it meets its project deadlines, and avoid incurring late delivery penalties. The construction federation undertook an analysis of the absenteeism levels amongst construction workers over the past four years. The number of man d