2. The line of best fit for a data set is y = 1. 1x + 3. 4. Find the residual for each of the coordinate pairs, (x, y).a. (5,8.8)b. (2.5,5.95)c. (0,3.72)d. (1.5,5.05)e. (-3,0)f. (-5,- 4.86)284ortpeADOS SU14

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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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finish d,e,f, g, h
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.5 7. 11.2 8.5 3.7 2.4 2.7 2.1 0.4 13.6 10 7.5 6. 6.2 5.5 4.1 I = thousands of automatic weapons y= murders per 100,000 residents This data can be modeled by the linear equation ý = 0.86x +3.92 a. How many murders per 100,000 residents can be expected in a state with 2.2 thousand automatic weapons? Round to 3 decimal places. murders per 100,000 residents b. How many murders per 100,000 residents can be expected in a state with 6 thousand automatic weapons? Round to 3 decimal places. murders per 100,000 residents Question Help: Video Submit Question
The regression line for a data set showing the monthly utility bill U in a certain city versus the square footage F of the residence is given by U = 0.2F − 100 dollars. What monthly utility bill would be expected for a 2500 square foot home in this city? $
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Below is the data for speed vs fuel consumption. The first set is speed(x); the second is fuel (y). if x = 10, y = 21 if x = 20 y =13, if x=30 y=10 if x = 40 y =8 if x = 50 y=7 if x =60 y = 5.9 if x = 70 y = 6.3 if x = 80 y = 6.95 if x = 90 y = 7.57 if x = 100 y = 8.27 if x = 110 y = 9.03 if x = 120 y = 9.87 if x = 130 y = 10.79 if x = 140 y = 11.77 and if x = 150 y =12.83. The equation of the LSR line is y^ = 11.058 - .015x The average of (x, y) are (80, 9.9) respectively. Find another point using the LSR equation, and graph the line
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IS YOUR DATA BASELINE DATA AUTOCORRELATED. behavior 2 4 6 8 10 o D 2 4 A time ° 6 8 0
The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 58 inches. Is the result close to the actual weight of 572 pounds? Use a significance level of 0.05. Chest size (inches) 46 57 53 41 40 40 Weight (pounds) 384 580 542 358 306 320 LOADING... Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? y=nothing+nothingx (Round to one decimal place as needed.)
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The point (9.1,71) is a point on the scatterplot. Draw the graph of the regression line on the scatterplot on the back of this paper using the y-intercept and the point(I = 3,y = 191). Indicate the residual for z = 9.1 by drawing the vertical line between(9.1, 71) and the corresponding point on the regression line. Will the residual be a positive or negative value?(f) Find the value of the residual for x = 9.1.

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The line of best fit for a data set is y = 1. 1x + 3.4. Find the residual for each of the coordinate pairs, (x, y). a. (5,8.8) b. (2.5,5.95) c. (0,3.72)