The following data were collected in an experiment to study the relationship between extrusion pressure (in KPa) andwear (in mg).x150175y10.412.420014.92252502751513.911.9The least-squares quadratic model is y = -32.44571429 +0.43154286x - 0.00098286x2.Compute the coefficient of determination R2. (Round the final answer to five decimal places.)

R2 = 0.96833 Explanation:Approach to solving the question:Let x be the explanatory variable and y…

Answered: The following data were collected in an…

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 following information represents the income x (in $10,000) and happiness score y (in scale from 0 to 10): n = 490 x = 4.5 y = 3.4 = 11437 y2 x2 = 6753 xy = 8618 Find the slope of the least squares regression line. O 0.7378 O 0.7402 O 0.7420 O 0.7476
A spherical balloon is being inflated. The following table shows how the volume V, in cubic inches, depends on time t, in seconds. Time t Volume V 4.19 2 3 4 7.24 16.49 17.16 24.43 (a) It turns out that the radius is a linear function of time. Because the volume of a sphere is a cubic function of the radius, a cubic model for the data is appropriate. Use cubic regression to find a model for the data. (Round regression parameters to two decimal places.) V =
Listed below are the overhead widths (cm) of seals measured from photographs and the weights (kg) of the seals. Overhead width 7.2 7.4 9.8 9.4 8.8 8.4 Weight 116 154 245 202 200 191 The four pairs of values below were obtained from the regression equation. Which is an extrapolation? a) overhead width 7.5 cm, weight 144 kg b) overhead width 10 cm, weight 245 kg c) overhead width 7.2 cm, weight 132 kg d) overhead width 8.1 cm, weight 169 kg
You are given the following information about x and y. Input this into Excel and complete the following question: y Independent Dependent Variable Variable 15 5 12 10 9. 7 11 What is he least squares regression estimate of the intercept? a) -1.3 b) 16.41176 c) 21.4
What is maximum weekly profit?
After ingesting 15 mL of 95% alcohol, the blood alcohol level of a 75 kg adult male rises rapidly to a maximum level then gradually decreases over time. Measurements of the subject's blood alcohol level at time t (in minutes) since the maximum blood alcohol level was observed gave the following results: Time t (in minutes) Blood alcohol level, B (in mg/L) 10 25 60 70 90 150 160 130 70 60 40 20 a) Using least squares regression, determine an equation of the form B= Be-kt that best fits the relationship shown. You do not need to graph the data. (Note any transformations you have applied to your data: x→, y→, round the values that appear in your final equation to three significant figures, and use the correct variable names...not x and y.)| b) Using your equation from part a), estimate the time t at which the subject's blood alcohol level will be 90 mg/L? Round your answer to the nearest minute.
It is required to use the data given in the table to estimate the parameters of the multiple linear regression equation by any of the estimation methods:
The following information relates to BCD Co. Month Usage Cost Jan. 600 P750 Feb. 650 775 Mar. 420 550 Apr. 500 650 May 450 570Using the least squares regression, what is the fixed cost element (to the nearest whole peso)?
Obtain the values for A and B by fitting the equation y= Ах to the following data using B + x linear least squares method. Hence, calculate y when x = 100. X 5 7 10 12 y 1.33 1.67 1.75 1.82 1.85
The following regression model describes the relation between the number of days of experience in a job involving the wiring of electronic components and the number of components which were rejected stack N u m b e r space o f space r e j e c t s with hat on top equals 249 minus 1.4 space D a y s space o f space e x p e r i e n c e Based on this model, estimate the number of components rejected for an employee with 97 days of experience in the job. Round your answer to one decimal place.
Consider the following linear regression model: Yi = B1 + B2x2i + B3x3i + ei of = o²r What is the weight to be used for generalized (or weighted) least-squares estimation? Select one: 1 1 Ob. 1 Oc. 1 od.

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