The ages (in years) of 10 men and their systolic blood pressures (in millimeters of mercury) are shown in the attached data table with a sample correlation coefficient r of0.916. Remove the data entry for the man who is 50 years old and has a systolic blood pressure of 201 millimeters of mercury from the data set and find the new correlationcoefficient. Describe how this affects the correlation coefficient r. Use technology.Click the icon to view the data set.The new correlation coefficient r(Round to three decimal places aIgoing from 0.916 togets stronger,gets weaker,stays the same,Data tableAge, x16253744506369305822Systolicblood pressure, yPrint109123144133201186198130176119DoneĎX

From the given data The correlation coefficient r is 0.916 Remove the data entry for the man who…

Answered: Remove the data entry for the man who…

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 two negatively associated variables have a coefficient of determination 2 of 63%. Find the value of the correlation. Explain your reasoning. d End
EQuestion Help The ages (in years) of 10 men and their systolic blood pressures (in millimeters of mercury) are shown in the attached data table with a sample correlation coefficient r of 0.899. Remove the data entry for the man who is 50 years old and has a systolic blood pressure of 200 millimeters of mercury from the data set and find the new correlation coefficient. Describe how this affects the correlation coefficient r. Use technology E Click the icon to view the data set. The new correlation coefficient r gets stronger, going from 0.899 to (Round to three decimal places as needed.) Data Table Age, x Systolic blood pressure, y 16 109 26 121 38 141 46 131 50 200 65 182 69 198 More 32 129 56 175 Enter your answer in the answer box 119 23
The given data represent the total compensation for 10 randomly selected CEOS and their company's stock performance in 2009. Analysis of this data reveals a correlation coefficient of r= - 0.2243. What would be the predicted stock return for a company whose CEO made $15 million? What would be the predicted stock return for a company whose CEO made $25 million? Click the icon to view the compensation and stock performance data. i CEO Compensation and Stock Performance E Click the icon to view a table of critical values for the correlation coefficient. What would be the predicted stock return for a company whose CEO made $15 million? Compensation (millions of dollars) Return (%) Stock % (Type an integer or decimal rounded to one decimal place as needed.) 26.45 5.68 12.47 30.19 19.49 31.31 13.07 80.23 12.02 - 8.61 11.95 3.09 26.45 4.21 14.76 11.24 17.86 3.67 14.43 11.38 Print Done
Blood pressure measurements consist of two numbers, the systolic pressure and the diastolic pressure. Subjects taking an experimental blood pressure medicine had the following measurements: Systolic 134 115 113 123 119 118 Diastolic 72 83 77 77 69 75 Compute the correlation coefficient. Round your answer to three decimal places. Write only a number as your answer. Your Answer:
A researcher is interested in whether the variation in the size of human beings is proportional throughout each part of the human. To partly answer this question they looked at the correlation between the foot length (in millimeters) and height (in centimeters) of 30 randomly selected adult males. The data is provided below. Use Excel to calculate the correlation coefficient r between the two data sets. Round your answer to two decimal places. Foot length (mm) Height length (cm) 269.1 188.6 245.7 177.5 272.7 166.9 271.8 155.1 273.9 144.3 274.7 133.8 255.7 122.6 276.5 157.4 279.6 145.9 280.1 135.6 281.9 123.5 HelpCopy to ClipboardDownload CSV
Use the data values in the table below to calculate the correlation between the variables x and y. Submit the link through Canvas to either a photo of your work on paper or a link to a google sheet. y 1 17.15 2 14.28 3 12.01 4 6.64 3.67 3.4 Give your answer to three decimal places.
Use the value of the linear correlation coefficient r to find the coefficient of determination and the percentage of the total variation that can be explained by the linear relationship between the two variables. r=0.947, where x = distance in miles and y=fare in dollars What is the value of the coefficient of determination? The coefficient of determination is (Round to four decimal places as needed.) G Camera Search your device, apps, settings, web.... G Docs Chrome Gmail 1)
C learn.vccs.edu/courses/474823/assignments/9794759 Identify if the following correlation. Describe if it is strong, weak, or no correlation. Then determine if the relationship is positive, negative, or neither. Explain your answer. O ● OHO ● ● ● ● O acer Provide your answer in the box below.
Match the statement on the left with the most likely answer on the right. Each answer is used one time. The number of hours worked and the V [ Choose ] amount of your paycheck. This would probably be a negative correlation. This would probably have no correlation. The number of people in your office and This would probably be a positive correlation. your job satisfaction. This would be a strong positive correlation. This would be a strong negative correlation. The number of miles you drive and the cost [ Choose ] of your car insurance The number of hours at your job in a week [ Choose ] and your grade point average. The miles you walk and your risk for heart [ Choose ] disease.
The accompanying histogram is for pulse rates for 125 people. Convert the vertical axis to relative frequency and shows the values that would replace each of the values on the vertical axis.
Will the following variables have positive correlation, negative correlation, or no correlation? IQ and annual salary Will these variables have positive correlation, negative correlation, or no correlation? O No correlation O Negative Positive Click to select your answer. acer esc @ 2$ % 8 W e r tab Dロ d f 9h a しのづ త #3 の

I need correlation coefficient ,test statistic , p value & conclusion pls help I need in an hour

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