1. Calculate the similarity between these 5 observations using the following 2 methods:a. Matching Coefficient Matrixb. Jaccards Coefficient MatrixBreathingLoss ofSoreObservationsfever coughfatigueheadachedifficultytastethroat11.1121.131114111151.1.1.1

Solution ::: Likenesses between 5 perceptions of a class for parallel factors are:->There is a…

Answered: 1. Calculate the similarity between…

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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A data set includes weights of garbage discarded in one week from 62 different households. The paired weights of paper and glass were used to obtain the results shown to the right. Is there sufficient evidence to support the claim that there is a linear correlation between weights of discarded paper and glass? Use a significance level of a = 0.05. Correlation matrix: Variables Paper Glass Раper 10.0979 Click here to view a table of critical values for the correlation coefficlent, Glass 0.0979 1 Determine the null and alternative hypotheses. Ho p H p (Type integers or decimals. Do not round.) Identify the test statistic, r. =| |(Round to three decimal places as needed.)
d) Correlation by eye Sample size=45 y 20- 15- og 8. 10- 5. 10 15 20 25 X Try to guess the sample correlation within +/- 0.1 Guess: Correlation: Sample coeficient of correlation a o 00 00
Table of critical values shown to the right. Is there sufficient evidence to A data set includes weights of garbage discarded in one week from 62 different hou support the claim that there is a linear correlation between weights of discarded pa Correlation matrix: Variables Paper Glass Click here to view a table of critical values for the correlation coefficient. |Раper 10.3890 Glass 0.3890 1 a = .05 a = 01 4 .950 .990 .878 .959 Determine the null and alternative hypotheses. 6 .811 .917 7 .754 .875 Ho: P 8. .707 .834 9. .666 .798 (Type integers or decimals. Do not round.) 10 .632 .765 11 .602 .735 Identify the test statistic, r. 12 .576 .708 13 .553 .684 r = (Round to three decimal places as needed.) 14 .532 .661 15 .514 .641 Identify the critical value(s). (Round to three decimal places as needed.) 16 .497 .623 17 .482 .606 O A. There is one critical value at r= 18 .468 .590 19 .456 .575 B. There are two critical values at r = ± 20 .444 .561 25 .396 .505 State the conclusion. 30 .361…
Hi! I really need help interpreting the results of this correlation matrix. Please help me answer these questions. Thanks! What were the results of your analysis in narrative form? Be clear about whether or not a significant relationship was indicated and the strength and nature of that relationship. How do you write out the numerical results of your analysis in APA format?
Question 8 Referring to the correlation matrix given below, does multicollinearity appear to be a problem (Use a cut-off of 0.7)? Justify your answer. Speed at 1/4 mile Transmission CurbWeight EngineType Туре TopSpeed ZeroTo60 | HorsePower Speed at 1/4 mile CurbWeight EngineType TransmissionType TopSpeed 1.00 -0.56 1.00 0.21 0.30 1.00 0.18 -0.24 0.16 1.00 0.65 -0.45 0.39 0.55 1.00 ZeroTo60 -0.86 0.48 -0.23 -0.35 -0.67 1.00 HorsePower 0.67 0.03 0.49 0.29 0.68 -0.69 1.00
3) The following data is obtained from a research a) Find the best equation fitting this data by using regression analyses method b) Find the correlation coefficient of the equation c) Find the y value for the x=5.5 Y 5 784 10 1043 15 1666 20 2478 25 4060 30 6069
I've created a Correlation Matrix in Microsoft Excel. I need to identify 4 pairs of variables that have the highest correlation. How would I do this? The matrix is attached to this question.
The table (on the right) shows the daily COVID-19 confirmed cases in Toronto region from March 8, 2020 to May 16, 2020. (Source: Ontario Public Health ) Year Dally cases (# people) March 8- March 14 50 March 15-March 21 202 a) Use DESMOS graphing technology to create a scatter plot of the data on the next page. Choose March 8- March 14 as week March 22-March 28 357 March 20-April 459 b) On the DESMOS graphing calculator, Determine a linear, a quadratic, and an exponential model using regression. April 5-April 11 085 April 12-April 18 1506 April 19-April 25 1532 April 26-May 2 1201 May 3- May 0 1126 May 10- May 16 071 c) Write the equation of the three models in the table below. Do not write the general regression equations Models Equation R SQUARE VALUE linear model 1 1 Quadratic model 2 Exponential model 3 3 d) Which model fits the data best? Justify using the value of the coefficient of determination

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1. Calculate the similarity between these 5 observations using the following 2 methods: a. Matching Coefficient Matrix b. Jaccards Coefficient Matrix Breathing Loss of Sore Observations fever cough fatigue headache difficulty taste throat 1 1 1 1 1 1 2 1 1 3 4 1 1 1. 1. 1 1 1