An automobile tire manufacturer collected the data in the table relating tire pressure x (in pounds per square inch) and mileage (in thousands of miles).Use quadratic regression on a graphing utility to find the quadratic function f(x) that best fits the data.f(x)=x²+x+(Round to three decimal places as needed.)Cx Mileage28443051325534493646

R commands to find quadratic regressionx <- c(28, 30, 32, 34, 36)y <- c(44, 51, 55, 49, 46)#…

Answered: An automobile tire manufacturer…

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 table below shows the height, h(t), in meters, of an object that is thrown off the top of a building, t seconds after it is thrown. t 2.5 3 105.125 105.6 A) Using your calculator to do a quadratic regression, express the height of the object as a function of the number of seconds that have passed since the object was thrown. 0.5 1 1.5 2 | 78.725 89 96.825 102.2 h(t) Round all numbers to 1 decimal place. B) Using your quadratic regression, how high will the object be 2.8 seconds after it is thrown? Select an answer Round to 3 decimal places. C) Using your quadratic regression, how long will it take the object to reach 10 meters? Select an answer Round to the 3 decimal places.
Suppose that X, Y, and Z are jointly distributed random variables, that is, they are defined on the same sample space. Suppose that we also have the following. E(X)=-9 E (Z) = 1 E (Y)=-6 Var(Y)=28 Var(Z) = 47 Var (X)=44 Compute the values of the expressions below. E (2-Z) = 0 E(X+32)=0 -5 -2-Var(4X) = 0 E(-x²) = 0 Continue □ X S M 31 Ⓒ2022 McGraw Hill LLC. All Rights Reserved
Use linear regression on your calculator to find the equation of the linear function that best fits this data. x 1 2 3 4 5 6 y 77 97 107 127 149 158
Use the data analysis toolpak regression analysis to find the equation for the linear function that best fits this data. Round both numbers to two decimal places. Write your final answer in a form of an equation y = b0 + bx(x)Note: You will need to 'transpose' your data before running your regression to ensure you are working with column-oriented data. x 1 2 3 4 5 6 y 101 120 130 158 175 202
A real estate company wanted to see the relationship between home prices and square footage of homes for sale. The regression line is ŷ = –802,456 + 144x, where x is the square footage of a home. Complete the statement based on the information. For every -square-foot increase, the predicted home price is predicted to increase by $
The file Galton on D2L contains the 928 observations Francis Galton used in 1885 to estimate the relationship between the heights of parents and the heights of their children. The column Children refers to the height (in inches) of a child, and the column Mid-Parents refers to the average height (in inches) of the mother and father of that child. You can download this file into Excel and Minitab. a. Calculate the regression Height of Children = a +b (Height of Mid-Parents). b. Calculate the average for Height of Children, and calculate the average Height of Mid-Parents. c. Create a new variable in Minitab which is the Height of Children measured in terms of deviations from its mean. Call this new variable y. Also, create a new variable in Minitab with is the Height of Mid-Parents measured in terms of deviations from its mean. Call this new variable x. Calculate the regression y = a + bx. You can create the new y and x variables in Excel of Minitab, whichever you find more convenient.…
The following table compares the length of a rhinoceros horn (in inc Use linear regression to find the equation for the line that best fits decimal places. Write your final answer in a form of an equation y = 37 199 203 34 49 46 245 226 40 43 52 55 259 X. 187 230 268
Perform Linear Regression Analysis by Octave (or MatLab) software using formulas for calculation of required parameters. Make the graph y versus x values and ytted VS. X on the same plot. x Answers: 0.05 0.04 35.7210 23.3960 7 0.03 13.3970 X S 0.02 6.0310 0.01 1.5190 0 0.0000
The attached table shows the level of water (y) measured in centimeters from the bottom of the container after (x) seconds. Create a table in DESMOS and graph the data. Attach a screenshot of your data plot from DESMOS. Does your data plot look linear or quadratic?
Using the regression to model annual income, a variable for years of education has a slope = 2000. This means that the model predicts each additional year of education will yield an extra 2,000 for the average person's salary, regardless of how many total years of education a person has. A. True B. False
A student used multiple regression analysis to study how family spending (y) is influenced by income (X1), family size (x2), and additions to savings (x3). The variables y, x1, and x3 are measured in thousands of dollars. The following results were obtained.
While collecting data on shoe sizes (y) compared to heights in inches (x) of male students in the class a student found that the shoe sizes ranged from size 7 to size 11 and the heights of the students ranged from 60 to 72 inches. The student ran a linear regression to get the function = 1 -x- 3 13 where y is the shoe size and is the height of the person in inches. What would be the shoe size for a student who was 73 inches tall? Shoe sizes only show up in incriments of 0.5 (ie. 7, 7.5, 8, 8.5, 9, 9.5, ....) so round to the nearest 1/2 shoe size. Show all your work.

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