I need someone to critically assess the relative merits/weaknesses of a economic modeling equation and the subsequent integrity tests performed on the 40 year time series data. Attached is a word document with screenshots of various EViews results/tests/diagrams, etc and an excel file with the associated data. Also attached is t
Linear regression analysis and correlation: Using this information, construct 95% confidence intervals for the regression parameters b0 and b1 . At .05 level of significance, test the null hypothesis that the population correlation coefficient is 0.
1. A computer company wants to study the relationship between the number of microcomputers in use in different areas and the number of software packages the company sells in the areas. A simple linear regression analysis of 21 geographical regions reveals the following: b0=12.43, b1= 1.076, s(b0)=13.65, s(b1)=0.083 , SSE (sum of
What does it mean when you have a negative y-intercept in your regression equation? How do you interpert the negative number?
Question: What do the slope and y-intercept represent in the regression equation?
Please help me with these questions: 1. What is the real world value of the y-intercept and slope in a regression equation? 2. Other than statistics problems, why should I care? 3. I know how to calculate, but what does it really mean when you apply it in a business setting? 4. When you use them in forecasting, how
Using the database (attached file), complete the followings: a) Develop a Multiple Regression model with the dependent variable being the Overall Job Satisfaction. Use gender, age, department, position and tenure with company as the independent variables. Comment on your analysis (Rsq, Rsq adj, etc). You are to provide not on
I need to be able to critically assess a regression analysis printout from EViews (sample attached) and be able to identify possible issues - i.e.: - potential heteroskedasticity - potential autocorrelation - potential multicollinearity problem prior to running the specific tool which provides further analysis for one of
Question A1: The smoke concentration (in mgm-3) is monitored over a northern industrial region every day at 16.00 hours for 75 consecutive weekdays. The results are tabulated below. Smoke Concentration (mgm-3) 71 85 95 84 65 89 87 73 67 72 96 87 69 42 56 100 68 56 92 65 71 86 6
An experiment was conducted to investigate the effect of four treatments, A, B, C and D on the yield of penicillin in a manufacturing process. It was necessary to use a different blend for each application if the four treatments. The results of the yields for this randomised block experiment are given in the table below.
a) Develop a Multiple Regression model with the dependent variable being the Overall Job Satisfaction. Use gender, age, department, position and tenure with company as the independent variables. Comment on your analysis (Rsq, Rsq adj, etc). You are to provide not only the output of the regression procedure but also the model equ
Comment briefly what these two boxplots reveal: Dependent variable: log (w) w: wage (earnings per hour) Independent variables: female, union member, non-white, years of schooling, years of experience, experience squared. *(Please see attachment for graphs)
Regression Model - (Y= -948.46+2390.72 * X). If X is 0.5, what is the estimated probability that Y is 270 or greater?
A) (Y= -948.46+2390.72 * X) If X is 0.5, what is the estimated probability that Y is 270 or greater? X Y 0.523695 303 0.44595 89 0.422357 73 0.500868 303 0.61344 486 0.495954 191 0.38211 17 0.516985 297 0.446968 49 0.408304 13 0.460985 111 0.534555 370 0.546605 379 0.502664 266 0.487558 252 b) Plot the pr
Multiple Choice Questions: Chi Square, confidence interval for population standard deviation, linear correlation coefficient, equation of the regression line, significant linear correlation
Question 1 Find the critical X ^2 corresponding to a sample size of 12 and a confidence level of 98 percent a) 3.053 b) 24.725 c) 21.920 d) 3.816 Question 2 : Find confidence interval for population standard deviation, assuming population has a Normal distribution for the following: College student'
Problems on Confidence Intervals, Statistical Test of Hypothesis, ANOVA, Regression and Forecasting Calculate a 99 percent confidence interval for the mean debt-to-equity ratio. Using the Excel descriptive statistics output given below, find a 95 percent confidence interval for the mean of all possible yields obtained using catalyst XA-100. For each of the following situations, indicate whether an error has occurred and, if so, indicate what kind of error (Type I or Type II) has occurred. For each of the following sample results, determine whether the power plant should be shut down and the cooling system repaired. Define the null and alternate hypotheses using the treatment means M1, M2, and M3 to represent each group. Then test for statistically significant differences between these treatment means. Write the regression equation for the LaborCost (y) and BatchSize (x). What type of seasonal variation do you see in the sales data?
Q1 The bad debt ratio for a financial institution is defined to be the dollar value of loans defaulted divided by the total dollar value of all loans made. Suppose a random sample of seven Ohio banks is selected and that the bad debt ratios (written as percentages) for these banks are 7 percent, 4 percent, 6 percent, 7 percent,
(a)B (b)B^=INV(X'X)X'y Which is a random variable, why?
Consider the regression model
If the disturbance are not conditionally homoskedastic.....
A: What is the significance of the error term in the regression equation? B: What does zero correlation tell you? C: How would you use a histogram to chart residuals? What would this tell you? D: How do you identify outliers in your data? How do they impact your regression equation?
1. A radio disc jockey track of the number of request for songs by a certain artist and the time of day the request calls were made. The data is displayed. Request: 9 0 10 0 5 0 9 5 Time of day: 2p.m. 3p.m. 4p.m.
I have a simple question, I think, I just cant remember my stats classes: I need to know which tests to use for the analysis of the following data I have a graph with species of malaria contracted along the x-axis. The y-axis is patient frequency (ie number of patients who contracted that particular species). The patient popu
4.6 Air Conditioning Repairs. Richard's Heating and Cooling in Prescott, Arizona, charges $55 per hour plus a $30 service charge. Let x denote the number of hours required for a job and let y denote the total cost to customer. a) Obtain the equation that express y in terms of x b) Find b0 and b. c) Construct a table for the
Our analysis reviews faculty salaries to see if there is in fact a substantial salary difference based upon gender. We have collected data from 1,446 random institutions across the United States. We have obtained salary information for both men and women faculty members, separately, within public, private and church-related in
U.S. Virgin Islands is a popular tourist destination, particularly during winter months. Tourists come from all over the world. Majority of these tourists typically stay 3- 5 nights in hotels, and spend significant amount of money on a variety of activities including playing golf, scuba diving, snorkeling, and just enjoying th
A) What is the least square of y on x and interpret the slope of the fitted regression. b) Find and interpret the coefficient of determination for the fitted regression c) What is the 95% confidence interval for the slope of the population line. d) Find the point forcast of the rate of return on the stock of Ill. Power next month,if the rate of return on the market index is expected to be 0.04 e) Test at the 1% level against a two - sided alternative the null hypothesis that the intercept of the population regression line is zero and interpret your findings.
A) What is the least square of y on x and interpret the slope of the fitted regression b) Find and interpret the coefficient of determination for the fitted regression c) What is the 95% confidence interval for the slope of the population line. d) Find the point forcast of the rate of return on the stock of Ill. Power next mo
Problem: We are using a linear regression model (time series) to predict sales of our "WW" brand. Historically, sales of this product for the period 1982 to date (1982 through summer 2003; assume 1982 was year one) have been approximated by the following data (in thousdands of units): Y = 3.984X + 2.994 Sy = .677 r2 (R s
1. Given the number of contacts and sales made by a company over two months, compare the numbers each month and determine the regression equation and the estimated sales if 40 contacts are made. Also, determine the standard of error estimate ... *(Please see attachment for complete problem and problem #2)
Use the formulas for a regression line to solve the following: The following are times in minutes between the duration of an eruption and the length of time before the next eruption at Yellowstone. Predict the interval for the next eruption if the duration of the last one was 2.82 minutes; explain conclusion - Answer is 67.7 but
State the goal of two statistical methods to formulate hypotheses.
The following data has been collected for two variables, X and Y. X Y 5 30 10 41 15 53 20 62 25 67 A simple linear regression model has been constructed using the data in the table and is being used to predict values for the variably Y Of 3, 7, 18 and 35, how do I determine which for variable X would lead to
I need to figure out the regression equation, the value of Y when X is 7, the slope of the regression equation, the Y-intercept of the regression equation, the coefficient of correlation, and the coefficient of determination.