Twenty pairs of measurements were taken at random to estimate the relation between variables X and Y. A least-squares line was fitted to the collected data. The resulting residual plot is shown.600400Residuals2000-200-400-600Өт50100150$200XWhich of the following conclusions is appropriate?○ A line is an appropriate model to describe the relation between X and Y.○ A line is not an appropriate model to describe the relation between X and Y.O The assumption of the Law of Averages has been violated.O The variables X and Y are not related at all.O There is not enough information about the variables X and Y to form a conclusion.

To draw an appropriate conclusion from the residual plot, you need to assess whether a linear model…

Answered: Twenty pairs of measurements were taken…

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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Waiting times (in minutes) of customers at a bank where all customers enter a single waiting line and a bank where customers wait in individual lines at three different teller windows are listed below. Find the coefficient of variation for each of the two sets of data, then compare the variation. Bank A (single line): 6.6 6.7 6.7 6.8 7.0 7.2 7.5 7.7 7.7 7.7 6.7 7.7 7.8 8.4 9.2 9.7 Bank B (individual 4.1 5.4 5.8 6.2 lines): www The coefficient of variation for the waiting times at Bank A is%. (Round to one decimal place as needed.)
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Can a low barometer reading be used to predict maximum wind speed of an approaching tropical cydone? For a random sample of tropical cyclones, let x be the lowest pressure (in millibars) as a cyclone approaches, and let y be the maximum wind speed (in miles per hour) of the cyclone. x 1004 975 992 935 971 924 y 40 100 65 145 78 147 A USE SALT (a) Make a scatter diagram ofr the data and visualize the line you think best fits the data. * 140 1000 140 1000 120- 120 100 100 80 80 940 60 940 E 60 40 40e. 920li 40 920 40 60 80 100 120 140 940 960 980 1000 60 80 100 120 140 940 960 980 1000 x (lowest pressure (in millibars) x (lowest pressure (in millibars) x (lowest pressure (in millibars)) x (lowest pressure (in millibars) (b) Would you say the correlation is low, moderate, or strong? O low O moderate O strong Would you say the correlation is positive or negative? O positive O negative (C) Use a calculator to verity thatx - 5801, - 5,613,547, E- 575, E- 64,543 and xy - 549,281. Compute r.…
using the excel data ... College Student Weekly Earnings in Dollars (n = 5) Hours Worked (X) Weekly Pay (Y) (xi - x̅)2 (yi - y̅)2 (xi - x̅)(yi - y̅) 11 95 16 173 22 210 18 157 30 270 x̅=?????? y̅=??????? SSxx SSyy SSxy
Help with: Determine the least-squares regression line. Test whether there is a linear relation between height and weight at the α=0.05 level of significance. What is the P Value Remove the values listed for Player 4 from the data table. Test whether there is a linear relation between height and weight. Do you think that Player 4 is influential? What is the P Value
For the accompanying data set, (a) draw a scatter diagram of the data, (b) by hand, compute the correlation coefficient, and (c) determine whether there is a linear relation between x and y. Click here to view the data set. Click here to view the critical values table. Critical values for the correlation coefficient Critical Values for Correlation Coefficient Data set 3 0.997 4 0.950 2 4 6. 6. 7 0.878 0.811 y 4 8. 12 14 19 7 0.754 8 0.707 0.666 10 0.632 11 0.602 12 0.576 13 0.553 14 0.532 15 0.514 16 0.497 17 0.482 18 0.468 19 0.456 20 0.444 21 0.433 22 0.423 23 0.413 24 0.404 25 0.396 26 0.388 27 0.381 28 0.374 29 0.367 30 0.361 Print Done n
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The scatter plot shows a set of data for the variables x and y. 200 180 160 140 120 100 80 60 40 20 10 10 20 30 40 50 What type of association is shown in the scatter plot? a weak, negative association C a strong, negative association B. a weak, positive association D. a strong, positive association
Let x be the average number of employees in a group health insurance plan, and let y be the average administrative cost as a percentage of claims. (b) Would you say the correlation is low, moderate, or strong? positive or negative? a) moderate and positiveb) low and negative c) strong and positived) strong and negativee) low and positivef) moderate and negative As x increases, does the value of r imply that y should tend to increase or decrease? Explain. a) Given our value of r, y should tend to decrease as x increases.b) Given our value of r, y should tend to remain constant as x increases. c) Given our value of r, y should tend to increase as x increases.d) Given our value of r, we cannot draw any conclusions for the behavior of y as x increases.
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X y 1 1 É Consider the following table of data. a. Calculate the least squares line and the correlation coefficient. b. Repeat part (a), but this time delete the last point. c. Draw a graph of the data, and use it to explain the dramatic difference between the answers to parts (a) and (b). a. The least squares line is Y= x +. (Use integers or decimals for any numbers in the equation. Round to four decimal places as needed.) 1 2 2 1 22 11 11

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