Number ofFacilities91116212730AverageDistance(miles)1.671.130.830.620.520.46(c) Develop an estimated regression equation for the data corresponding to a second-order model with one predictor variable. (Round your numerical values to four decimal places.)9-2.8751-1815x+0034x2

The second-degree model is given by y=a+bx+cx2. The normal equations are given by:…

Answered: Number of Facilities 9 X 11 16 21 27 30…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).The results of the regression were:y=ax+b a=-0.76 b=21.83 r2=0.659344 r=-0.812 Use this to predict the number of situps a person who watches 4 hours of TV can do (to one decimal place)
Hours slept 15 14.5 14 13.5 13 12.5 12 0 Infants' weights and their number of hours of sleep 2 4 6 8 weight (a) There is a strong negative and the number of hours the infant sleeps in a day. (b) What is the slope of the regression line? equation located above the regression line) (c) Write the regression equation, y = -0.2145x + 15.981 picture - equation located above the regression line) 10 y = -0.2145x + 15.981 R² = 0.7152 12 14 16 o correlation between an infant's weight (see information in the picture - (see information in the (d) If an infant weighs 5 lbs, how many hours of sleep in a day can you expect for this infant? (Round the answer to one decimal place) (e) If an infant sleeps 13.9 hours per day, what weight (in lbs) can you predict for the infant? (Round the answer to one decimal place)
A6
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Regression methods were used to analyze the data from a study investigating the relationship between roadway surface temperature (x) and pavement deflection (y). The simple linear regression model is y = 0.33 + 0.0042x. (a) Suppose that temperature is measured in °C rather than °F. Determine regression coefficients for the new model y = Bo +B1x. Round your answer to two decimal places (e.g. 98.76). Bo Round your answer to four decimal places (e.g. 98.7654). (b) What change in expected pavement deflection is associated with a 1°C change in surface temperature? Round your answer to four decimal places (e.g. 98.7654). Save for Later Attempts: 0 of 1 used Submit Answer
Two variables are defined, a regression equation is given, and one data point is given. Hgt = height in inches Age = age in years of a child Hgt = 24.5+2.78(Age) The data point is a child 12 years old who is 60 inches tall. X Your answer is incorrect. (a) Find the predicted value for the data point and compute the residual. Enter the exact answers. Predicted value = i Residual = inches inches
894c3d916%#10001 MAT 213 OL1 Elementary Statistics Shayjunna Jones &| 0| 02/03/21 4:56 PM Homework: Homework 3 Save Score: 0 of 3 pts 17 of 20 (3 complete) ▼ HW Score: 10%, 6 of 60 pts 4.2.50 Question Help v Use the given data to do the following. a. Find the regression equation for the data points. b. Graph the regression equation and the data points. 4 3 y 4 -1 9 3 a. Find the regression equation for the data points. y = (Round to two decimal places as needed.) Enter your answer in the answer box and then click Check Answer. Check Answer 1 part remaining Clear Al 4:56 PM 2/3/2021 Cip
A regression coefficient is given Match the correct equation with answers given below Y =0.00114x + 2.53 Y=1.662x + 83.34 Y = -1.04x + 50.3 Y= -0.667x + 52.6
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The linear regression equation for predicting systolic blood pressure from age is: y = 54 + 1.6*x Find the residual for a person who is 32 years of age with a systolic blood pressure of 103.9 (round your answer to one decimal place)
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Number of Facilities 9 X 11 16 21 27 30 Average Distance (miles) 1.67 1.13 0.83 0.62 0.52 0.46 (c) Develop an estimated regression equation for the data corresponding to a second-order model with one predictor variable: (Round your numerical values to four decimal places.) 9-2.8751-1815x+0034x