Baseball DataDistance(feet)442427422418414410407405401399397393PrintSpeed(mph)107.5109.9103.4105.6105.2102103.5101.1103.7101.3101100.9DoneX The accompanying data represent the speed at which a ball was hit (in miles per hour) and thedistance it traveled (in feet) for a random sample of home runs in a baseball game in 2018.Complete parts (a) through (d) below.Click here to view the baseball data.Click here to view a table of critical values for the correlation coefficient.(b) Draw a scatter diagram of the data. Choose the correct graph below.A.Speed (mph)r=112-100-375450Distance (feet)Distance (feet)B.450375+100Speed (mph)112(Round to three decimal places as needed.)Speed (mph)112-100-450Distance (feet)375Distance (feet)(c) Determine the linear correlation coefficient between speed and distance.D.450-375100Speed (mph)112

The scatter plot is a graph used to plot numerical values. It is used to plot two numerical…

Answered: The accompanying data represent 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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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
Question 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 0.910. Remove the data entry for the man who is 51 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. Click the icon to view the data set. The new correlation coefficient r going from 0.910 to Data Table (Round to three decimal places as needed.) Age, x Systolic blood pressure, y 110 16 121 26 39 144 130 45 200 51 183 63 Loc 69 199 Bro 130 32 175 58 24 118 Print Done Enter your answer in the answer box. AdChoices PAGCS DEC O étv 13 MacBook Pro DD DII F6 F9 F2 F10 F12 F3 F8 F11 F5 F7 F1 F4 %23 $4 4 & 5. 9. 6. 8 0 utitam
You might expect the correlation between the horsepower of new cars and their gas mileages in miles per gallon to be: Group of answer choices A substantial negative correlation A substantial positive correlation A small correlation
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.
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.
PLEASE SHOW AN EXPLANATION FOR EACH PART
Which correlation would allows for the best prediction of Y based on X? Group of answer choices r = .50 r = .80 r = .05 r = -.90
The table lists weights (pounds) and highway mileage amounts (mpg) for seven automobiles. 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? Weight (lb) Highway (mpg) Which scatterplot below shows the data? A. 40- 20- 2000 5000 2795 3225 3470 32 34 28 Weight (lb) B. 40- 20+ 2000 D 5000 Weight (lb) 4085 4155 2225 25 23 38 C. ● 20+ 2000 ● ● ● ● 5000 Weight (lb) Is there a linear relationship between weight and highway mileage? A. No, there appears to be no relationship. B. Yes, as the weight increases the highway mileage decreases. C. No, there appears to be a relationship, but it is not linear. D. Yes, as the weight increases the highway mileage increases. 40- 20- 2000 3440 29 5000 Weight (lb)

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