6tabThe following table gives the weeks of gestation and corresponding birth weights for a sample of 5 babies.SStep 2 of 3: Determine if r is statistically significant at the 0.05 level.Answeralt9aZWKASSexWeeks of Gestation 35 36 38 39 41Weight (in pounds) 5.5 7 8 9 9.5dO Yes, the correlation coefficient is statistically significantO No, the correlation coefficient is not statistically significantOILyb&7hOun*8O(39✓O[K]-alt→р

Given data: Weeks of Gestation Weight (in pounds) 35 5.5 36 7 38 8 39 9 41 9.5

Answered: The following table gives the weeks of…

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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Calculate the range, variance , and stanard deviation for the following a.4,2,1,0,1 b.1,6,2,2,3,0,3 c.8,-2,1,3,5,4,4,1,3 d.0,2,0,0,-1,1,-2,1,0,-1,0,-3,-2,-1,0,1
For the following data 4,4,6, 10 o = 2.4 Then C.V.= Select one: O a. 25% O b. 47% Ос. 22.4% d. 40%
To examine the linear correlation between adult age and weight, data was collected from 9 adults. See the table below. Age Weight (Years) (pounds) 26 203 28 245 29 141 34 139 39 199 40 194 41 137 50 181 52 197 Does this result suggest that the correlation is statistically significant? Use a = 0.01. Important Note: Round your value for r to three decimals before computing the STS. DO NOT use the built- in LinRegTTest on a calculator because you might get marked wrong. When computing the P-value, use the rounded STS. 1. Select the correct statement: O f the correlation is found to be statistically significant, that means that changes in æ cause changes in y O Even if the correlation is found to be statistically significant, that does not necessarily mean that changes in æ cause changes in y
Please no written by hand
For the following data 5,6,8,9 o = 2.1 Then C.V.= Select one: O a. 21.1% O b. 33.3% O c. 38% O d. 30%
The scatterplot below shows the relationship between two random variables X and Y. (a) Is the correlation a good metric for describing the relationship between X and Y for these data? Why or why not? Regardless of your answer suppose you calculated the sample correlation between X and Y and found that r = -0.15. Explain in one sentence what this means. (b) If, as noted in (a), r = -0.15 then what is the value of the correlation between 2X and 5Y? (c) Based on (b) draw your best approximation to the least squares regression line that fits the data above. Also, make a rough sketch of the corresponding residual plot.
first picture is background information
Suppose we have the following paired observations of variables X and Y: X Y 8 0 4 10 12 20 Draw the scatter plot comparing X and Y. Calculate the values of the sample covariance and sample correlation between X and Y. Using this information, how would you characterize the relationship between X and Y ?
Five observations taken for two variables follow. xi 6 11 15 21 27 yi 6 9 5 18 12 a. compute the sample covarinace b. Compute the sample correlation coefficient. (Round your answer to three decimal places.)
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. Use a significance level of x = 0.05 to answer the following questions. Correlation Results Correlation coeff, r: Critical r: P-value (two tailed): 0.000 Identify the correlation coefficient, r. r= (Round to three decimal places as needed.) Identify the critical value(s). (Round to three decimal places as needed.) OA. There are two critical values at r= ± OB. There is one critical value at r= Is there sufficient evidence to support the claim that there is a linear correlation between the weigh of bears and their chest sizes? Choose the correct below and, if necessary, fill in the answer box within your choice. (Round to three decimal places as needed.) exceeds the critical value. A. No, because the absolute value of r= OB. Yes, because the absolute value of r= OC. No, because r= exceeds the positive critical value. falls…

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