There are 39 observations representing the 39 Peruvians in the dataset and 10variables. Factor Analysis was performed on the data set, giving the followingresult for the factor loadings based on the correlation matrix, with PC as factorextraction method unrotated and using 3 factors.VariableAgeYearsWeightHeightChinForearmCalfPulseSystolDiastolFactor Loadings (Unrotated) (peruvian)Extraction: Principal components(Marked loadings are >.500000)Factor2Factor1-0.3498160.763287-0.416995 0.764342-0.8844940.243825-0.255384 0.188597-0.707324 -0.104618-0.789642 -0.327357-0.679921 -0.456050-0.465664 0.034710-0.522348 -0.274233-0.479173 -0.166765Factor30.0783670.169844-0.220992-0.6809600.3632850.3651420.2212730.272035-0.538937-0.562990What is the specific variance of the variable Years? (final answer to 3 decimalplaces)

Given, There are 39 observation representing the 39 Peruvians in the data set and 10 variables.…

Answered: There are 39 observations representing…

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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We made a survey with the number of people in a household and the number of times they get sick throughout the year. In a household, 3 people get sick once, 4 people get sick twice, 2 people get sick three times and 1 person gets sick 4 times. 1) Give the correlation coefficient, proper interpretation of it, and explain the relevance to the topic
What is the correlation coefficient (r) for the best data set
If the coefficient of determination is 0.5625 then calculate the correlation coeffcien
Several bakeries in a town were asked the price for different amounts of donuts at their shop. The scatter plot with Total Cost (in dollars) 876543 ~ TO 0 0 1 Donut Pricing 2 3 4 5 Number of Donuts 6 7 8 line of best fit was created from the data gathered. Part A: Estimate the correlation coefficient. Explain your reasoning for the given value. Part B: How many positive and negative residuals are there? Explain your reasoning. Part C: State the point with the largest absolute value residual and interpret the point in terms of the context of the data.
The life span (days) of three genotypes of fruit flies was measured for both males and females. Some calculations are presented below to test for significant differences in life span among genotypes (factor A), between sexes (factor B), and test for a genotype-sex interaction. Use a 5% level of significance for each test. Two-Factor ANOVA Source SS DF MS F Genotype 454.01 3 Sex 73.30 Interaction 670.20 Error 1000.20 36 Total 2197.71 47 What is your conclusion regarding the effects of three genotypes on the life span of fruit flies? Hint* this question is asking you to choose a conclusion for a single factor only. You do not have to . fill out the entire table. There is no effect due to the three genotypes. O There is a significant effect due to the three genotypes. The genotypes have a significant effect on the results of the Two-factor ANOVA. 2.
Assume the professor of a particular course is male, and interpret the coefficient on FemaleStudent. What is the predicted difference in performance between a female student and a male student? What's the magnitude of the coefficient?
Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support Correlation Results the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that Correlation coeff, r: 0.959614 a measured chest size can be used to predict the weight? Use a significance level of = 0.05. Critical r: +0.2680855 P-value (two tailed): 0.000 Но: Р H1:P (Type integers or decimals. Do not round.) Identify the correlation coefficient, r. (Round to three decimal places as needed.) Identify the critical value(s). (Round to three decimal places as needed.) O A. There is one critical value at r= . B. There are two critical values at r= ± Is there sufficient evidence to support the claim that there is a linear correlation between…
please explain and answer all parts
Please use ANOVA

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