The accompanying table shows the maximum weights (in kilograms) for which one repetition of a half squat can be performed and the jump heights (in centimeters) for 12 international soccer players. Complete parts (a)through (d) below.Click here to view the data table Click here to view the table of critical values for the Pearson correlation coefficient.(a) Display the data in a scatter plot. Choose the correct graph below.A.Jump Height (cm)220140-●●4565Max Weight (kg)(b) Calculate the sample correlation coefficient r.(Round to three decimal places as needed.)B.Jump Height (cm)220-140+45●●65Max Weight (kg)QJump Height (cm)65+45+140●•:220Max Weight (kg)QJump Height (cm)65-45+220140Max Weight (kg) efficient r.=ded.)Weight and Jump HeightMaximum weight, x190180160185175175155165165180185210PrintJump Height, y5928 9486658546155635150566064DoneIX220ht (kg)N

XYX.YX2Y21905911210361003481180581044032400336416054864025600291618561112853422537211755596253062530…

Answered: The accompanying table shows the…

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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One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and selling price (in thousands of dollars) for a random sample of homes for sale in a certain region. Complete parts (a) through (h) below. A Click the icon to view the housing data. (c) Determine the linear correlation coefficient between square footage and asking price. Question Help v (Round to three decimal places as needed.) (d) Is there a linear relation between square footage and asking price? O Yes No (e) Find the least-squares regression line treating square footage as explanatory variable. (Round the slope to three decimal places as needed. Round the intercept to one decimal place as needed.) (f) Interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete your choice O A. For everv additional thousand dollars in sellina orice the sauare footade increases bvi Click to select your answer(s).…
The following graph plots data for tax per gallon and internal miles.Carefully explain what the graph is about, and what it captures. What are the limitations of the correlation and what can a researcher do toovercome these?
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.
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.
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 5 2.86 4.48 7 3 8. 3.92 3.34 10 0.96 11 2.38 12 2.8 Give your answer to three decimal places. Submit Question 6.
The ages (in years) and helghts (in inches) of all pitchers for a beseball team are listed. Find the coefficient of variation for each of the two data sets. Then compare the results. -Click the Icon to view the data sets. CV. %D Round to one decimal place as needed.)
The accompanying table shows the height (in inches) of 8 high school girls and their scores on an IQ test. Complete parts (a) through (d) below. Click here to view the data table. Click here to view the table of critical values for the Pearson correlation coefficient. (a) Display the data in a scatter plot. Choose the correct graph below. OA. OB. Oc. OD. Q 130- 120- 110- o 100- 90 H 68+ 68- 130- 120 64- 64- 110- 60- 60- g 100+H 90- 56- 56- 52- 80 Height (inches) 80+ 52 52- 80 Height (inches) 80- 52 130 68 130 68 Height (inches) Height (inches) (b) Calculate the sample correlation coefficient r. Critical Values for the Pearson Correlation Coefficient (Round to three decimal places as needed.) (c) Describe the type of correlation, if any, and interpret the correlation in the context of the data. There is linear correlation. Critical Values for the Pearson Correlation Coefficient Interpret the correlation. Choose the correct answer below. O A. Based on the correlation, there does not…
Identify the type of correlation in the following scatter plot. e Skip step McCully, Aliyah 9. 24AMCCully21C
ASSESSMENT Direction: Read, analyze and answer the following problems below. Show all necessary solutions. 1. The data below show the age and systolic blood pressure of six randomly selected subjects. Compute for the correlation coefficient and interpret the results. Age (x) Pressure (y) 43 48 56 61 67 70 128 120 135 143 141 152
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?
Please use the values from the given r values and assign the accurate value to the plots A,B,C, or D.

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