What should you do for the following concepts before analyzing them?Choose from these options:A. Directly analyze this variable.B. Create a composite (e.g., the sum or mean) of the concept's indicators for each unit of analysis.C. Create a composite (e.g., the sum or mean) of the concept's indicators for each unit of analysisAND assess the reliability (internal consistency) of this concept's indicators (e.g., calculatingCronbach's alpha).D. For each dimension of this concept, create a composite (e.g., the sum or mean) of the dimension'sindicators for each unit of analysis AND assess the reliability of indicators separately for eachdimension (e.g., calculating Cronbach's alpha).A concept that is itself a manifest variable.[Choose ][Choose ]сA concept that is measured by a single effect Dindicator.ABA concept that is manipulated by a singlemanifest variable.[Choose ][Choose ]A concept that is unidimensional andmeasured by three effect indicators that arecontinuous variables.[Choose ]A two-dimensional concept with eachdimension measured by three effectindicators that are continuous variables.<<<

Manifest variable: A manifest variable is a variable used in the analysis. This variable is directly…

Answered: What should you do for the following…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Bicycling World, a magazine devoted to cycling, reviews hundreds of bicycles throughoutthe year. Its Road-Race category contains reviews of bicycles used by riders primarily interestedin racing. One of the most important factors in selecting a bicycle for racing is itsweight. The following data show the weight (pounds) and price ($) for ten racing bicyclesreviewed by the magazine: a. Develop a scatter chart with weight as the independent variable. What does the scatterchart indicate about the relationship between the weight and price of these bicycles?b. Use the data to develop an estimated regression equation that could be used to estimatethe price for a bicycle, given its weight. What is the estimated regression model?c. Test whether each of the regression parameters b0 and b1 is equal to zero at a 0.05level of significance. What are the correct interpretations of the estimated regressionparameters? Are these interpretations reasonable?d. How much of the variation in the prices of…
Suppose researchers at an abdominal transplant clinic are concerned about the rate of graft loss due to diabetes status prior to receiving a donor kidney. Research has shown that gender discordance, or receiving a gender from a donor of an opposite gender may increase the risk of both exposure and outcome after transplant. Assume the following tables represent the stratified analysis of the potential confounding variable. (9 points) Gender Discordance Graft Failure No Graft Failure Total Diabetes II 23 10 33 No Diabetes II 4 44 48 Total 27 54 81 Gender Concordance Graft Failure No Graft Failure Total Diabetes II 9 34 43 No Diabetes II 12 87 99 Total 21 121 142 A) Calculate the stratum specific estimates for the odds ratios in each strata. B) Observe the difference in the odds ratios. Based on observation alone, what are we likely to conclude regarding the relationship between outcome and exposure…
Thompson Photo Works purchased several new, highly sophisticated processing 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 an operator (in years) important? In order to explore further the factors needed to estimate performance on the new processing machines, four variables were listed: x1 = Length of time an employee was in the industry x2 = Mechanical aptitude test score x3 = Prior on-the-job rating x4 = Age Performance on the new machine is designated y. Thirty employees were selected at random. Data were collected for each, and their performances on the new machines were recorded. A few results are: Performance on New Machine, Length of Time in Industry, Mechanical Aptitude Score, Prior On-the-Job Performance, Age, Name y x1 x2 x3 x4 Mike Miraglia 118 11 343 122 50 Sue Trythall 116 8 307 128 21 The equation is: yˆ = 10.2 +…
8 Here we are talking about quality control and the control charts depends variable or attribute . THE TITLE IS ... GYMS .... WE NEED THIS CHARACTERSTICS ( 3 THINGS ENOUGH ) NOTE ; TALKING ABOUT .... GYMS .... Define the quality characteristics and identify whether they are variable or attribute. Explain in detail how they are related to the quality of the product/service
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Construct dummy tables corresponding to the following research objectives To compare the nutritional status of the breast, bottle, and mixed-fed babies. To determine the relationship of the patient's compliance to medication for hypertension with his age and the severity of his disease.
Students also often confuse the idea of Lurking Variable and Confounding Variable, but these are different but possibly related. This discussion is designed for students to help each other build a complete understanding, and clearly separate these as two distinct concepts. Discuss the similarities and differences between these, as well as what they imply for the conclusions of a research study.
Please help me better understand word problem. A researcher was investigating variables that might be associated with the academic performance of high school students. The data included the average Math SAS score of all high school seniors in the city that took the exam (labeled as the variable SAT-M), the average number of dollars per pupil spent on education by the city (labeled as the variable $Per Pupil), and the percentage of high school seniors in the city that took the exam (labeled as the variable %Taking). As part of the researcher's investigation, he ran the following multiple linear regression model as SAT-M=Beta0 + Beta1($Per Pupil) + Beta2(%Taking). This model was fit to the data using the method of least-squares, results shown inside of table within photo. Question: What's the 95% confidence interval for Beta1, (coefficient of variable $PerPupil). Then determine the interpretation for Beta2 (coefficient of %Taking variable).
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Duncan wants to collect all available text data within the company to determine which data he should include in his text analysis. He found many datasets but is unsure which can be included in text analytics. Which of the following is NOT an example of text data? A.Customer feedback on the restaurants (describing what they liked and didn’t like) collected in an online survey B.Yelp reviews for the restaurant, in which customers describe their experiences at the franchise locations C.The content of tweets posted on Twitter about the restaurant during a given week D.A dataset of all active Twitter users that follow the company, that includes demographic data about the customers such as their age and annual income

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