Share
Explore BrainMass

Regression Analysis

Correlation Revelation/chi-squared analysis

Regression and Correlation are two of the most often used and abused tools in research. People are quick to jump to conclusions that if a relationship exists between two variables, then one must cause (causation) the other. There are many reasons why two variables can be related without causality. Please respond to the following

Understanding Regression Analysis

25. A real estate analyst uses regression analysis to determine the relationship between interest rates and house sales. She collects the following data and obtains the results below. Interest Rates % (X) Number of Houses Sold (Y) 7 64 8 52 9 42 10 34 11 32 12 31 13 30 14 29 15 19 Y-hat = 87.6 - 4.6X, where X

AirPassengers time series analysis with R

The data file contains the monthly total international airline passengers bookings (in thousands) from January 1949 to December 1960. The data are available as a time series in R under the variable AP. Do an exhaustive analysis of the data and give the R code used for each step: Describe the trend, seasonality, and irregular c

Mean Absolute Percent Error

An electronic test equipment manufacturing company markets a certain piece of specialty equipment. The company has several competitors who currently market similar pieces of equipment. hile customers have repeatedly indicated they prefer the company's equipment, they have historically proven to be unwilling to wait for the comp

Multiple Regression Analysis - Experience Levels

Refer to the data on fixing breakdowns in cell phone relay towers in the table on TAB 2. In the initial design, experience level was coded as Novice or Guru. Now consider three levels of experience: Novice, Guru and Experienced. Some additional runs for an experienced engineer are given below. Also, in the original data set, rec

Regression Model Development and Analysis

Regression model development and assess the future employment scenario in developing countries (Please refer to attachment 'Table 1') Answers may address the following items: 1) Comment on the relevance of data presented in Table 1 (attached Excel file) and briefly describe the approach you would like to adopt in developin

Obesity, adiposity and biostatistical calculations

Obesity is very common in American society and is a risk factor for breast cancer in postmenopausal women. One mechanism explaining why obesity is a risk factor is that it may raise estrogen levels in women. In particular, one type of estrogen, serum estradiol, is a strong risk factor for breast cancer. To better assess these re

Regression Analysis: Random Selection

The expense ratio of a mutual fund measures the percentage of the fund's assets used to pay for annual administrative overhead. Funds with higher ratios spend more of the fund's return to operate the fund. A random selection of 16 stock mutual funds last year revealed the following data: Expense Ratio, X 0.62 1.21 1.03 0

Correlation Types and Statistical Analysis

See attached case study. 1) What descriptive statistics were reported in the attached case study? 2) What statistical tests were conducted to analyze the data? 3) Were there any significant findings reported in the attached case study? If so, provide a description or interpretation of the results. 4) What relation

Trend Projection

Please help me with the attached question. Using a trend projection, forecast the demand for Period 9

Significance of the regression

Please help me with the attached question. Thank you. Use the following data on mother's shoe size and infant birth weight a) construct a scatter plot for these data b) using alpha = 0.10, test for the significance of the regression slope c) construct a 90% confidence interval for the population slope. d) discuss your

Regression Analysis - Independent and Dependent Variables

1. Conduct a regression analysis to determine if age (independent variable) has any effect on the number of vitamins/supplements people take. State what you are testing and what the x (independent) and y (dependent) variables are. Test for correlation and explain the regression results, if necessary. 2. Conduct a regression a

Regression Model of Independent Variables

Consider the set of dependent and independent variables that can be found in the attached Excel file Prob 151.xlsx. a) construct a regression model using both independent variables b) test the significance of each independent variable using alpha = 0.05 c) interpret the p-value for each independent variable Data set y x

quantitative forecasting

"... With quantitative forecasting, historical data and math are used to predict future events" . Questions: A) Identify a variable that varies over time. Be sure you have a sufficiently large data set. B) Construct a time series scatter plot. Is there an apparent trend component? (plug data into Excel, create simple scatt

Regression, Outliers, P-value, R

Use the dataset anscomb.sav and SPSS to answer the following questions: Problem 9.1: a. Produce the scatter plot for x3 and y3. Do you think there are any outliers? b. Calculate the correlation coefficient (r) for all the data points c. What does the p-value in your SPSS output tell you? d. What does r tell you about the

Researching Using the Quantitative Method

I need to come up with a social science problem that has been studied using the quantitative research method. In doing so I could also use help finding a peer-reviewed source to go along with it.

Application of Regression Analysis

1. Use the graph (see attachment) to describe the total variation about a regression line in words and in symbols. 3. Use the graph (see attachment) to describe the unexplained variation about a regression line in words and in symbols. 11. Retail Space and Sales - The following table (see attachment) represents the total s

Regression Analysis and Testing Hypotheses

I have a group project due. My portion is only 300 words but I am hoping you can help me. I would like a short summary of the processes involved in figuring the following: 1. The regression analysis of the attached data- excel sheet, (r squared,r and the goodness of fit test) 2. Description of the hypothesis test related to

Statistics: Regression Analysis Problems

1. The administrator of a school board in a large country was analyzing the average mathematics test scores in the schools under her control. She noticed that there were dramatic differences in scores among the schools. In an attempt to improve the scores of all the schools, she decided to determine the factors that account for

Statistics - Regression and Coefficients

See the attached file. 1. Florida condominiums are popular winter retreats for many North Americans. In recent years the price has steadily increased. A real estate agent wanted to know why prices of similar-size apartments in the same building vary. A possible answer lies in the floor level. It may be that the higher the flo

Linear Regressions Questions

1. Results from regressing the spread between Corporate AAA bonds and the Treasury 10-year note on GDP are provided in the attached file. a) Test the hypothesis: Ho: Intercept = 0; Ha: Intercept =/= 0 Ho: Slope = 0; Ha: Slope =/= 0 b) Calculate the correlation between the regression residuals t and (t - 1). c) Test the hyp

Using the Regression Function in Excel

Question 1: Use the "Regression" function in Excel and (the data) of Visits: 3, 5, 4, 2, 1, 3, 6, 7, 4, 5, 10, 1, 2, 3, 8 Age 28, 45, 50, 19, 16, 27, 54, 63, 32, 42, 68, 19, 23, 30, 61, to estimate the linear relation between the number of visits and the age of the patient. Examine the results of the analysis by 1. Inter

Regression Coefficient Mixed Costs at a Hospital

Mixed costs are very common in business and consist of fixed cost element and a variable cost element. Fixed costs are a recurring, constant cost that does not vary when business activity varies. Variable costs are added costs associated with each unit of business activity the organization experiences. The relationship can be ch

Personal Income Analysis

The table lists the personal income and outlays (both in trillions of dollars) for Americans for 11 recent years. Personal income, x 4.5 4.9 5.0 5.3 5.6 5.9 6.2 6.5 7.0 7.4 7.8 Personal outlays, y 3.7 4.0 4.1 4.3 4.6 4.8 5.1 5.4 5.7 6.1 6.5 1. Construct a scatter plot for the data. Do the data

Regression Analysis and Statistics

I need help with these questions. 1. Find the equation of the regression line for the given data. What is the predicted value of Y when X = -2? What is the predicted value of Y when X = 4? X -5 -3 4 1 -1 -2 0 2 3 -4 Y -10 -8 9 1 -2 -6 -1 3 6 -8

Statistics: Multiple Regression Analysis

41. A multiple regression analysis based on n= 24 data points yielded the following fitted model: Y = 130.0093 - 3.5017 + .0034 The error sum of squares was 465.1348. Each of the following statements is incorrect; your job is to correct each. a. For each one-unit change in , we expect Y to decrease by -3.5017 units

Forming a Regression Model with Interaction Term

Can you kindly provide answers with a deep explanation? I need it to develop an essay. Thanks a lot! Zagat's publishes restaurant ratings for various locations in the United States. The file RESTRATE.xls contains the Zagat rating for food, decor, service, and the price per person for a sample of 53 restaurants located in New