The data in the table is the number of absences for 7 students and their corresponding grade. Number of Absences Grade 0 5.5 1 5 2 4.5 3 3.5 5 3 7 2.5 8 2 Step 1 of 3: Calculate the correlation coefficient, r. Round your answer to six decimal places.

The data in the table is the number of absences for 7 students and their corresponding grade. Number of Absences Grade 0 5.5 1 5 2 4.5 3 3.5 5 3 7 2.5 8 2 Step 1 of 3: Calculate the correlation coefficient, r. Round your answer to six decimal places.

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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Which of the following do think would have the strongest negative correlation? The amount of time you watch TV and your gas mileage. The temperature going up and the hot chocolate sales at the ball game. The miles you drive and the amount you spend on gas. The temperature going up and the number of t-shirts sold at the ball game.
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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:
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 0.923. Remove the data entry for the man who is 51 years old and has this affects the correlation coefficient r. Use technology. systolic blood pressure of 198 millimeters of mercury from the data set and find the new correlation coefficient. Describe how E Click the icon to view the data set. The new correlation coefficient r going from 0.923 to Data table (Round to three decimal places as needed.) Age, x Systolic blood pressure, y 16 109 26 122 37 145 44 131 51 198 63 185 71 199 30 131 58 175 21 119 Print Done
Assume that you have paired values consisting of heights (in inches) and weights (in Ib) from 40 randomly selected men. The linear correlation coefficient r is 0.563. Find the value of the coefficient of determination. What practical information does the coefficient of determination provide? Choose the correct answer below. A. The coefficient of determination is 0.317. 68.3% of the variation is explained by the linear correlation, and 31.7% is explained by other factors. O B. The coefficient of determination is 0.683. 31.7% of the variation is explained by the linear correlation, and 68.3% is explained by other factors. O C. The coefficient of determination is 0.683. 68.3% of the variation is explained by the linear correlation, and 31.7% is explained by other factors. O D. The coefficient of determination is 0.317. 31.7% of the variation is explained by the linear correlation, and 68.3% is explained by other factors.
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.
sub-part 3. please help me with the rest. thanks
A pediatrician wants to determine the relation that may exist between a child's height and head circumference. She randomly selects eleven 3-year-old children from her practice and measures their heights and head circumference. According to the data, the linear correlation coefficient between the height and head circumference of a child is 0.918. Compute the coefficient of determination, R². A. 91.8% O B. 84.3% OC. 82.6% O D. 8.2%
Which value of r indicates a stronger correlation: r=0.844 or r= -0.867? Explain your reasoning. Choose the correct answer below. O A. r= -0.867 represents a stronger correlation because | -0.867| > |0.844. B. r=0.844 represents a stronger correlation because 0.844> -0.867. OC. r=0.844 represents a stronger correlation because | -0.867| > |0.844|. D. r= -0.867 represents a stronger correlation because 0.844 > -0.867.
I need correlation coefficient ,test statistic , p value & conclusion pls help I need in an hour
use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? FORECAST AND ACTUAL TEMPERATURES The table lists actual high temperatures and the high temperatures that were previously forecasted for these same days. The table includes data for ten different days near the author’s home. What does the result suggest about the accuracy of five-day predicted high temperatures?