Applicants for a particular job that involves extensive travel in Spanish speaking countries, must take a proficiency test in Spanish. The sample data below was obtained in a study of the relationship between the numbers of years applicants have studies Spanish and their score on the test. # of Years (χ) 3 4 4 2 5 3
Manatees are large sea creatures that live in the shallow water alone the coast of Florida. Many manatees are injured or killed each year by powerboats. Here are the data on manatees killed and powerboat registration (in thousands of boats) in Florida for the period 1984 to 1990. Year Powerboats Manatees Killed γ
What is realtionship between the amt spent per wk on food and the size of the family? Do larger families spend more on food? A sample of 10 families in the chicago are revealed the following figures for family size and the amount spent on food per week. Chart attached
Following is a portion of the Excel output for a regression analysis relating maintenance expense (dollars per month) to usage (hours per week) for a particular brand of computer terminal. (see table in attachment) a. Write the estimated regression equation. b. Use a t test to determine whether monthly maintenance expens
The typical household income and typical home price for a sample of 18 cities follows (see attachment - data are in thousands of dollars). PART A: a. Use these data to develop an estimated regression equation that could be used to estimate the typical home price for a city given the typical household income. b. Compute r2 [
Develop a scatter diagram for this data. Develop the estimated regression equation by computing the values of b (0) and b (1). Use the estimated regression to predict the value of y when x = 4
Given are five observations for two variables x and y. (see attached for details) x y 1 3 2 7 3 5 4 11 5 14 A. Develop a scatter diagram for this data. B. What does the scatter diagram in part A indicate about the relationship between the two variables? C. Try to aproximate the relationship between x and y by drawin
Results of multiple regression for Defect Summary measures Multiple R 0.9383 R-Square 0.8803 Adj R-Square 0.8612 StErr of Est 7.2326 ANOVA Table Source df SS MS F p-value Explained 4 9621.5292 2405.3823 45.9828 0.0000 Unexplained 25 1307.7628 52.3105 Regre
This problem is identical to problem posting 22208 and I assume should be removed from the library.
I'm not certain what is being asked and I need help on where to start.
Assume a significance level of 5% 1. Everybody seems to disagree about why so many parts have to be fixed or thrown away after they are produced. Some say that it's the temperature of the production process, which needs to be held constant (within a reasonable range). Others claim that it's clearly the density of the product
5. A product manager at Proctor & Gamble seeks to determine whether her company should market a new brand of toothpaste, called Tim's of Massachusetts. If the new brand succeeds, then P&G estimates that it would earn $2,000,000 in NPV. If Tim's fails, then the company expects to lose approximately $800,000 in NPV. If P&G decides
I need help interpreting what is being asked and how to solve problems.
See attachment it is in jpeg format.Please show how you devrived at solutions.
See Jpeg attachments. One attachment is a printout from minitab, the other attachment is the questions.
Regression Models: a) The owner has an 82-year-old building with 5 apartments but no parking spots. The lot is 7500 square feet and the gross building area is 9542 square feet. What sales price is predicted by MODEL I ? b) State why you know that all three models are significant for predicting the sales price. Since this is the case, why would a statistician prefer MODEL III to MODEL II ? c) Fill the missing numbers in the analysis-of-variance table for MODEL III. d) From MODEL II to MODEL III the proportion of explained variation in sales price reduces from 98% to 97.7%. Give precisely the reason you know that this is not a significant reduction in R2. e) Use MODEL III to answer this part. On the average, what does an extra apartment add to the sales price? Give a 95% confidence interval for the marginal contribution of the 'apts' variable.
1. The owner of an apartment building in Eurelia believes that her property tax bill is too high because of an overassessment of the property value by the city tax assessor. The owner has hired an independent real-estate appraiser to investigate the appropriateness of the city assessment. The appraiser used regression analysis
Please see attached there are 3 problems. I have added the instructions for #3
The files attached include results from an experiment aimed at determining whether the training program and/or bonus incentive has an effect on employee tenure. ID: Sequential identification numbers assigned to employees included in the study Training: 1=training given to store manager 0=no training given Bon
Is the educational achievement level of students related to how much the state in which they reside spends on education? In many communities this important question is being asked by taxpayers who are being asked by their school districts to increase the amount of tax revenue spent on education. In this case, you will be asked t
The Rio-River Railroad, headquartered in Santa Fe, New Mexico, is trying to devise a method for allocating fuel costs to individual railroad cars on a particular route between Denver and Santa Fe. The railroad thinks that fuel consumption will increase as more cars are added to the train, but it is uncertain how much cost should
This solution gives detailed explanations along with the answers to five questions regarding a given linear regression model.
A company has purchased several new, highly sophisticated machines. The production department needed some guidance with respect to qualifications needed by an operator. Is age a factor? Is the length of service as a machine operator important? In order to explore further the factors needed to estimate performance on the new
Please see the attached chart and answer the following questions: 1. Find the missing parts of the output (parts a-g). 2. Determine the standard error of the regression model. 3. Is the relationship between y and x1, holding x2 constant, significantly positive? State the hypothesis to be tested, the decision rule, the
Please answer whether these questions or true, false or uncertain. Explain the answer. 1. In a simple linear regression, the coefficient of determinations is the amount of unexplained variation divided by the total variation. 2. If a simple linear regression model's R(squared) is equal to 0.81; then the same model's r wil
1. The attached spreadsheet details the results of a Cobb-Douglas production function estimation for electricity production. Electricity is produced using heat (fuel), capital, and labor. (a) Write out the complete model. (b) What type of returns to scale does electricity production exhibit? (c) Calculate the marginal produ
The standard error of the estimate can be used to determine a range within which the independent X variables can be predicted with varying degrees of statistical confidence based on the regression coefficients and the value for the Y variable. Why is this statement true or false?
Plants emit gases that trigger the ripening of fruit, attract pollinators, and cue other physiological responses. The hydrocarbons emitted by the potato plant were measured and compared to the plant weight. Weight (x) was measured in grams and hydrocarbon emissions (y) were measured in hundreds of nanograms for 11 plants. Let
I am currently working on a problem that has four parts, and in question 1 and 3 I am doing ok. I completed the scatter plot using excel and also have completed the least squares regression model. the part were I am confused is in parts b and c of question 2 and question 4.
This is an example of the basic repeated measures experiment where the study is a completely randomized design (treatments are randomly assigned to experimental units with no blocking factors), and then 4 measurements are made on each unit over time. The tool used for the analysis was SAS.
In a concept formation study, 12 subjects were randomly assigned to three different experimental conditions and then given four trials in the solution of a problem. For each trial, the number of minutes taken to solve the problem was recorded. The results were as follows: (See the attached file for data table) a) State a
Subject: Multivariate model Details: I need to know how to report the findings from this type of model
Making sense of the data in Excel, in order to predict the two most influential , and the two least influential parameters. The enclosed table shows details from a sample of students. All students had to jump as high as possible, the results were measured in CMs. Out of all the personal details, Genda, Height, weight, B
Cost estimation and using multiple regression: University Hospital has prepared a schedule of estimated overhead costs for its blood test unit for the coming year on the assumption that production will be 80,000 tests for the year. Costs have been classified as fixed or variable, according to the controller's judgment. See a