Q9: HOURS OF EXERCISEQ10: Hours of Studya. Prepare a scatterplot showing the relationship between Q10 and Q9, Q10 will go onthe X axis and Q9 will go on the y.....Interpret the scatter plot. Does the direction of therelationship correspond to your expectations stated?b.Calculate the correlation coefficient (r) beaten Q10 and Q9. Interpret this indicatorc. Discuss the role of possible outliers in affecting the correlation coefficient betweenthese two variables 60SOLLEG253436922424N22234380 NONroOL852EDDS3N17204121028201514182018677910625320.753

Q9 Q10 5 10 0 5 1 3 12 4 25 3 10 6 3 20 3 17 2 20 2 4 2 12 2 10 10 28 10…

Answered: Q9: HOURS OF EXERCISE Q10: Hours of…

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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8) Hours of sleep per day vs. Age Hours of sleep per day T N 10 20 Age 30 Consider the scatter plot that shows a y = 0.0789x + 9.02 person's age and the r² = 0.606 number of hours they sleep per night. 40 a) Briefly describe the type and strength of the correlation. b) To determine the number of hours that a 75-year-old would sleep, you would use (fill in the blank with interpolation or extrapolation).
Solve attached photo.
Match the linear correlation coefficient to the scatter diagram. The scales on the x- and y-axes are the same for each diagram. (a) r = -1 (b) r= -0.933 (c) r=-0.523 (d) r= -0.038 Click the icon to view the scatter diagrams. r= -0.933 r= -1 r= -0.523 r=-0.038 Drag each of the r-values given above into the appropriate area below. Q Response Explanatory Response Explanatory Q *** Response Explanatory Q Response Explanatory
Identify the type of correlation in the following scatter plot. e Skip step McCully, Aliyah 9. 24AMCCully21C
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?
lecture(11.12): A large amount of scatter in a scatter plot is an indication that the relationship between the two variables is (a) negative (b) strong (c) weak (d) moderate (e) positive
Below is a table showing the relationship between age and bone density of a typical healthy adult male. Age (years) 25 35 45 55 65 75 85 Bone density (mg/cm²) 1165 1135 1085 1060 1015 975 910 Using your line of best fit find the equation for this line. Describe the correlation between the two variables and what conclusions can you make from this set of data? Using graph plotted extrapolate to find the bone density of a 90 years old typical adult.
Match the linear correlation coefficient to the scatter diagram. The scales on the x- and y-axes are the same for each diagram. (a) r= - (b) r= - 0.546 0.025 0.946 (c) r= - (d) r= - 1 Click the icon to view the scatter diagrams. ..... r= - 0.025 r= - 0.546 r= - 0.946 r= - 1 Drag each of the r-values given above into the appropriate area below. Explanatory Explanatory Explanatory Explanatory Response Response Response Response • .
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In analyzing the the correlation between two variables in the scatter plot, when the variable X increases, the variable Y also increases then the correlation between them is a. no correlation b. negative c. multiple correlation d. positive
Which scatter plot shown has the strongest negative correlation?
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