Task 9:The following table shows a typical output for an analysis with two influencing factors.Here, the statistical software SAS was used to assess the lung function of 111 asthmapatients as a function of treatment and initial health status (2 categories: "good" or"poor").EffectInterceptTreatment ActiveSolution for Fixed EffectsTreatment InitHealth Estimate Standard Error DF t Value Pr>|t|1.78800.1606 108 11.13 <.00010.74773.88 0.0002Treatment PlaceboInitHealthInitHealthEffectTreatmentInitHealthGoodPoor01.00710Type 3 Tests of Fixed EffectsNum DFDen DF F ValuePr>F1 108 15.09 0.00021108 27.12 <.00010.1925 1080.1934 1085.21 <.0001a) Can you translate the output into a statistical model? Try to write down the model formula.The target value is FEV1s. High values mean a good result.b) Interpret the results of the analysis regarding the effectiveness of the treatment and theinfluence of the health status.c) What conclusions can be drawn regarding the possible difference in treatment efficacybetween good and poor health? What method could be used to investigate this question in moredetail?

Given information: Solution for Fixed Effects Effect Treatment InitHealth Estimate Standard…

Answered: Task 9: The following table shows a…

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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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…
A baseball team claims that the mean length of its games is 2.4 hours. State H0 and Ha in words and in symbols. Then determine whether the hypothesis test for this claim is left-tailed, right-tailed, or two-tailed. Explain your reasoning. State the null hypothesis in words and in symbols. Choose the correct answer below. A. The null hypothesis expressed in words is, "the mean length of a baseball team's games is at most 2.4 hours." The null hypothesis is expressed symbolically as, "H0: μ≤2.4." B. The null hypothesis expressed in words is, "the mean length of a baseball team's games is more than 2.4 hours." The null hypothesis is expressed symbolically as, "H0: μ≠2.4." C. The null hypothesis expressed in words is, "the mean length of a baseball team's games is at least 2.4 hours." The null hypothesis is expressed symbolically as, "H0: μ≥2.4." D. The null hypothesis expressed in words is, "the mean length of a baseball…
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From the graphs displayed, is there evidence to suggest that there is a positive linear relationship between Square Feet and Bathrooms, for the population of real estate represented by this sample? Be sure to provide numeric support in your answer.
A social scientist would like to analyze the relationship between educational attainment(in years of higher education) and anual salary (in $1,000s). He collects data on 20 individuals. A portion of the data is as follows: Salary Education 43 52 1 : 2 40 : 0 A.What is the predicted salary for an individual who completed 6 years of higher education? (Round coefficient estimates to at least 4 decimal places and final answer to the nearest whole number.) B:Find the sample regression equation for the model: Salary = β0 + β1Education + ε. (Round answers to 2 decimal places.) Data Salary Education 43 1 52 2 80 9 42 3 62 1 50 8 104 10 41 0 35 5 57 1 91 4 47 4 66 8 59 7 141 11 41 0 77 2 67 4 131 8 40 0 SUMMARY OUTPUT Regression Statistics Multiple R 0.68022955 R Square 0.462712241 Adjusted R Square 0.432862921 Standard Error…
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How to do this with excel functions.

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