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Regression Analysis

Quantitative Research Methods

Address questions(a)through(e)using the following information and output for multiple linear regression. The sales manager of Phanton corporation has constructed a model to evaluate the performance of the company's sales representatives. Te representatives annual sales are estimated by the person's lenght of employment (mo

Quantitative methods.

Problem 1 The amount of fluid in a half-liter bottle of diet cola is normally distributed, and from past experience, the standard deviation is known to be 1.20 milliliters. A sample of 50 bottles reveals a mean weight of 502.1 ml. Construct and interpret a 90% confidence interval for the mean. Be sure to interpret the meaning

Statistics Problems 10-11 10-15 10-16 10-22 10-34 10-37 10-40 10-47 10-56 10-59

10-11 An article in the journal of Monetary Economics assesses the relationship between percentage growth in wealth over a decade and a half of saving for baby boomers of age 40 to 55 with these people's income quartiles. The article present table showing five income quartiles and for each quartile there is s reported percentag

Regression Equation and Correlation

Refer to the Wage data, which report information on annual wages for a sample of 100 workers. Also included are variables relating to the industry, years of education, and gender for each worker. Determine the regression equation using annual wage as the dependent variable and years of education, gender, years of work experience

Statistics regression problem samples

10-79 A regression was carried out aimed at assessing the effect of the offer price of an initial public offering (IPO) on the chances of failure of the firm issuing the IPO over various time period from the time of offering ( the maximum length of time being 5 years). The sample was of 2,058 firms, and the regression slope es

Confidence Interval, Sample size & Regression Equation

1 How do I find the 98% confidence interval for the mean of the following sample of 10: 91, 82, 66, 94, 110, 80, 90, 75, 88, 84 2 2. A farmer wanted to test a new diet on his pigs and he wanted to be 99% confident that the average weight gain would be within 2 pounds. The standard deviation is 16.5 How many pigs should g

Use indicator variables to reduce average task times

See data file attached. Management at the Texas Christian University physical plant is interested in reducing the average time to completion or routine work orders. The time to complete is defined as the difference between the date of receipt of a work order and the date closing information is entered. The number of labor hou

Regression Analysis

I need help with analyzing and evaluating the results from the attached regression. Please review the attached for linear model. Price is represented as cents per gallon.

ZYX Inc job satisfaction: Chi-Square, ANOVA & Regression Analysis

See attached files Phase III, IV & V Chi-Square, ANOVA & Regression Analysis III. In this phase you will investigate the relationship between a respondent's view (Interest) of the recent move and his/her demographic characteristics: 1. Run Chi-Square analyses between a respondent's view (Interest) and the respondent's dem

Statistics: Normality, regression and hypotheses testing problems

Please use use the templates attached. 1. (a) Suppose you want to estimate the mean percentage of gain in per share value for growth-type mutual funds over a specific 2-year period. Ten mutual funds are randomly selected from the population of all the commonly listed funds. The percentage gain figures are shown below (negativ

Statistics: Regression problems

1. Prepare Scatter plot for the 5 variables with the dependent varaible Number of books wasted 2. Based on the scatter plots, which variables look promising as predictors of dependent variable 3. Using the regression procedure, create regression analysis ... 4. Identify which of the regression analysis are significant 5. Wha

Statistics: Auto parts distributor will estimate annual sales in April

See the attached file. Suppose that the sales manager of a large automotive parts distributor wants to estimate as early as April the total annual sales of a region. On the basis of regional sales, the total sales for the company can also be estimated. If, based on past experience, it is found that the April estimates of annu

Carpet City: Develop a linear regression model

Carpet City wants to develops a means to forecast it carpet sale. The store manager believes that the store's sale are directly related to the number of new housing starts in town. The manager has gathered data from county records on monthly house construction permits and from store records on monthly sales. Monthly Carpet Sa

A. Develop a linear regression for these data and forecast carpet sales if 30 construction permits for a new homes are filed. B. Determine the strength of the casual relationship between monthly sales and new home construction by using correlation.

24. Carpet city wants to develop a means to forecast its carpet sales. The store manager believes that the store's sales are directly related to the number of new housing starts in town. The manager has gathered data from county records on monthly house construction permits and from store records on monthly sales. These data are

Statistics: develop and assess a forecasting model for ice cream production

The Bee line Café is well known for its popular homemade ice cream, which it makes in a small plant in back of the café. People drive long distance to buy the ice cream. The two ladies who own the café want to develop a forecasting model so they can plan their ice cream production and determine the number of employees they n

Statistics Discussion: Common trend models; centered to moving average method

DQ3: (a) Name two advantages and two disadvantages of each of the common trend models (linear, exponential, quadratic). Explain! (b) When would the exponential trend model be preferred to a linear trend model? Explain! DQ4: One of the methods that is used to moderate (smooth) the peaks and valleys within a ti

Regression analysis in SPSS

Use the data set supplied (hypertension, diabetes, cholesterol in subjects, including medication, weight, age, etc) in doc sharing and using SPSS, provide the following for the variable(s) of your choice: 1. Frequency distribution of a variable and bar graph of the same variable 2. Descriptive of a continuous : mean, median,


Please notice that we need to calculate the parameters in the linear equations through statistics and not through the mathematics [in Q1 & Q3]. Y= ax + b: here a and b must be calculated through statistical formaula and the steps must be shown. It is not accepted to just plot the data in Excel and fit a stright line to them t

Regression Analysis

I am working on an Excel system for evaluating various independent variables (X) against a dependent variable (Y). For each variable and line type I calculate the standard error, adjusted R squared, and F value, and then compare them against one another. Question, which number would you think would be the most reliable pre

Multiple Regression Analysis

Problem: The demand for airplane passengers (Y) is a function of a average fare (X1), the fare of the competing airline, and the annual per capital income of the passengers(X3) Passenger seat sold Fare of the Fare of the competing Annual Per Capital of the airline airline a

Rate of Return

1. If the daily stock price, x, of United Technology is normally distributed with mean 6.56 and standard deviation 2.4, calculate the probability that in a randomly selected ay the price will be between $3.25 and $7.36. Hint: Review normal distribution. 2. An industry is comparing its performance against an industry benchmar

Linear Regression and Correlation: Confidence Interval for Mean

1. The following sample observations were randomly selected. X: 4, 5, 3, 6, 10 Y: 4, 6, 5, 7, 7 a. Determine the regression equation. b. Determine the value of Y' when X is 7. c. Determine the standard error of estimate. d. Suppose a large sample is selected (instead of just 5). About 68% of the prediction