We will rank the y-values of the following data set: xy-13.40.70.61.43.43.120.1510.85.921.27.322.39.132.311.338.811.932.7 Fill in the following table: xyx-ranky-rank-13.41 0.70.62 1.43.43 3.120.14 510.85 5.921.26 7.322.37 9.132.38 11.338.89 11.932.710

We have given that x y -1 3.4 0.7 0.6 1.4 3.4 3.1 20.1 5 10.8 5.9 21.2 7.3 22.3…

Answered: Fill in the following table: x y…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

x	y
-1	3.4
0.7	0.6
1.4	3.4
3.1	20.1
5	10.8
5.9	21.2
7.3	22.3
9.1	32.3
11.3	38.8
11.9	32.7

x	y	x-rank
-1	3.4	1
0.7	0.6	2
1.4	3.4	3
3.1	20.1	4
5	10.8	5
5.9	21.2	6
7.3	22.3	7
9.1	32.3	8
11.3	38.8	9
11.9	32.7	10

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Correct Construct a histogram that represents the following data regarding the selling prices of houšes sold in 2006 for a particular neighborhood. Prices of Houses Class Frequency 99630-119629 119630-139629 4 139630-159629 159630-179629 3. 179630-199629 8. Step 2 of 5: Find the upper class. boundary for the third class.
d. Estimate the blood pressure of the student if his stress test score is 80, 60, and 85.
L6Q7.Which of the following tables shows the data in the scatter plot below?
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. X Y 11.4 8.6 7.2 3.6 13.5 11.3 10.1 x = thousands of automatic weapons y = murders per 100,000 residents 2.4 2.8 2.3 0.9 7 6.1 6.6 5.9 4.7 This data can be modeled by the equation y = 0.83x +4.06. Use this equation to answer the following; Special Note: I suggest you verify this equation by performing linear regression on your calculator. Answer = A) How many murders per 100,000 residents can be expected in a state with 2.7 thousand automatic weapons? Answer = Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 11 thousand automatic weapons? Round to 3 decimal places.
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We will rank the y-values of the following data set: x y -1 0.6 -0.5 -5.2 1.7 6 2.6 7.2 3.2 11.6 5.1 15.3 6.7 7.7 8.8 17.1 9.4 22.4 10.1 13.8 Fill in the following table: x y x-rank y-rank -1 0.6 1 -0.5 -5.2 2 1.7 6 3 2.6 7.2 4 3.2 11.6 5 5.1 15.3 6 6.7 7.7 7 8.8 17.1 8 9.4 22.4 9 10.1 13.8 10
For major league baseball teams, is there a relationship between player payrolls and gate money? Here are data for each of the American League teams for the year 2000. The variable x denotes the 2000 player payroll (in millions of dollars), and the variable y denotes the mean attendance (in thousands of fans) for the 81 home games that year. The data are plotted in the Figure 1 scatter plot. Also given is the product of the player payroll and the mean attendance for each of the fourteen teams. (These products, written in the column labelled "xy", may aid in calculations.) Anaheim Baltimore Boston Chicago White Sox Cleveland Detroit Kansas City Minnesota Mean Player payroll, x attendance, y (in $1,000,000s) thousands) New York Yankees Oakland Seattle Tampa Bay Texas Toronto Send data to calculator 59.2 80.5 97.0 42.3 90.5 68.6 31.8 23.5 114.3 43.0 69.9 65.2 72.7 66.8 25.56 40.74 31.98 24.07 42.72 31.23 20.74 13.09 39.88 21.36 38.89 18.27 34.57 22.47 xy x 1513.152 3279.57 3102.06…
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The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.8 8.2 6.9 3.6 2.5 2.8 2.6 0.4 14 11.3 10.2 7.4 6.5 6.3 5.9 4.5 x thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equationý = 0.85x + 4.12. Use this equation to answer the following; %D A) How many murders per 100,000 residents can be expected in a state with 7.3 thousand automatic weapons? Answer = Nearest whole value. B) How many murders per 100,000 residents can be expected in a state with 1 thousand automatic weapons? Nearest whole value Answer =

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Fill in the following table: x y x-rank y-rank -1 3.4 1 0.7 0.6 2 1.4 3.4 3 3.1 20.1 4 5 10.8 5 5.9 21.2 6 7.3 22.3 7 9.1 32.3 8 11.3 38.8 9 11.9 32.7 10