Write research proposal using any Multivariate Data Analysis or Machine LearningTechniques.1. Research TitlePut the title here2. ProponentsLast Name, First Name M.I.3. Rationale/Significance of the ProposalPut the rationale or short introduction of the research. You can also indicate thesignificance of the research here.4. ObjectivesThe main objective of this research isSpecifically, it aims to2.1 describe the2.2 Visualize data using2.3 And so on5. Review of Related LiteratureSubtopic 1Put the discussion of Subtopic 1 here. Use the APA format in citing the author like (LastName, Year). Those inline citations should be reflected in the References following thissection.Subtopic 2Three to 4 references for each subtopic is alright. It is highly recommended that you citethose researches conducted for the last 5 years. Provide at least 10 RRLS.Subtopic 3and so on6. Methodology/Strategies of ImplementationPut the following in this section:Data, Data Source, Data DescriptionSteps associated with the analysis

25 observations of sample dataset is given below: Age Sex ChestPainType RestingBP Cholesterol…

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Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter7: Analytic Trigonometry

Section7.6: The Inverse Trigonometric Functions

Problem 91E

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Answer true or false to each of the following statements and explain your answers. a. In the forward selection method with tenter = 2.00, if the t-statistics for the three predictor variables that have not been entered are 1.72, −1.28, and 0.89, then the forward selection method stops. b. In applying the backward elimination method, a predictor variable is added to the regression equation if the absolute value of its t-statistic is greater than tremove. c. The maximum number of regression equations that need to be determined when selecting a regression equation by backward elimination is equal to the number of predictor variables.
34. Is the reduced multiple linear regression analysis adequate? a. Yes b. No c. Cant be determined
A manufacturing firm has developed a skills test, the scores from which can be used to predict workers' production rating factors. (data attached) a. Using POM for Windows' least squares-linear regression module, develop a relationship to forecast production ratings from test scores (round to 3 dec points and use negative signs when necessary) Y = __ + __X where Y=Production rating and X=Test score b. If a worker's test score was 51, what would be your forecast of the worker's production rating? ___ (Enter your response as an integer.) c. Comment on the strength of the relationship between the test scores and production ratings. The coefficient of correlation for the least-squares regression model is ___ and the coefficient of determination is ___.(round to 3 dec places.) There is stong posititive/no/strong negative (choose 1) relationship. The regression equation explains ___% of variation in ratings (integer).
An agent for a residential real estate company in a large city would like to be able to predict the monthly rental cost for apartments, based on the size of an apartment, as defined by square footage. The agent selects a sample of 25 apartments in a particular residential neighborhood and gathers the following data a. Construct a scatter plot. b. Use the least-squares method to determine the regression coefficients b0 and b1 c. Interpret the meaning of and in this problem. d. Predict the monthly rent for an apartment that has 1,000 square feet
The particular method of analysis to be used in a given study would depend on: the research question the study design the type of subject all of the above A and B
A group of educators want to determine how effective tutoring is in raising students' grades in a math class, so they arrange free tutoring for those who want it. Then they compare final exam grades for the group that took advantage of the tutoring and the group that did not. Suppose the group participating in the tutoring tended to receive higher grades on the exam. Does that show that the tutoring worked? If not, explain why not and suggest a confounding variable
4. Areal estate company wants to study the relationship between Home price in OMR 1000) and the following variables: Floor size (in 100 square feet (X 1 ) , Type of Heating (X 2 =1 if electricity and X 2 =0,if Gas) , Location of home (X 3 =1 if in town and X 3 =0 , if in village). Use this to answer the following questions: Then the degrees of freedom of Fstatistic for finding critical value is A . r 1 =3,r 2 =10 B. None C. r 1 =11,r 2 =3 D. r 1 =3,r 2 =11 E. r 1 =10; r 2 =3
Refer to the original question, but use this data instead:use this data instead: Max 2500E + 2100L s.t. 6E+4L <= 2400 L <= 250 3E + 4L <= 1500 E,L >= 0 a. What is the optimal solution value for E (number of units of the EZ-Rider)?b. What is the optimal solution value for L (number of units of the Lady-Sport)?c. What is the profit?

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1. Research Title 2. Proponents Last Name, First Name M.I. Put the title here