2) Use regression to find a linear equation that best fits the data above. The equation has form ywhere:m =b =Use the model to predict the number of individuals infected with the disease after 19 days.Y3) Use regression to find a quadratic equation that best fits the data above. The equation has format² + bt + c where:=a =b =individualsC =Use the model to predict the number of individuals infected with the disease after 19 days.= mt + bindividuals The table below shows the number of individuals infected with a disease t days after its first detected by theCDC.DaysInfected Individuals12678 72237564825576882 945 101781104

The question is about regression Given : To find : 2 ) Reg. eq. in the form y = mt + b and…

Answered: 2) Use regression to find a linear…

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 annual expenditure for cell phones varies by the age of an individual. The average annual expenditure E(a) (in $) for individuals of age a (in years) is given below:a: 20, 30, 40, 50, 60, 70E(a): 502, 658, 649, 627, 476, 2131. Use quadratic regression to find the model that best represents the data.2. At what age is the yearly expenditure for cell phones the greatest? Round the answer to the nearest year. YOU MUST SHOW THE WORK FOR THIS PART!
Use the linear regression model yˆ=−24.8x+564.38 to predict the y-value for x=63.
A 1 ROAA (%) Efficiency Ratio (%) 2 1.04 39.93 3 57.75 4 81.4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 0.68 7.27 1.08 0.72 0.92 0.79 1.04 1.76 1.07 1.37 0.93 0.66 1.72 1.5 0.59 2.12 1.11 1.45 1.06 B A 53.49 71.08 65.41 68.07 68.14 68.1 64.82 48.58 63.1 59.16 49.93 54.7 81.6 75.21 69.82 49.47 57.09 с Total Risk-Based Capital (%) 17.04 13.88 27.77 18.31 14.66 14.04 13.38 16.8 16.69 13.86 12 18.65 19.76 17.69 26.6 15.08 14.55 17.5 16.03 14.62 D E F G H |
The volume (in cubic feet) of a black cherry tree can be modeled by the equation y=−50.8+0.3x1+5.1x2, where x1 is the tree's height (in feet) and x2 is the tree's diameter (in inches). Use the multiple regression equation to predict the y-values for the values of the independent variables.
The volume (in cubic feet) of a black cherry tree can be modeled by the equation y=−51.9+0.3x1+4.9x2, where x1 is the tree's height (in feet) and x2 is the tree's diameter (in inches). Use the multiple regression equation to predict the y-values for the values of the independent variables.
A professor wants to predict students' final examination scores on the basis of their midterm test scores. An equation was determined on the basis of data on the scores of three students who took the same course with the same instructor the previous semester (see the table on the right). a) Find the regression line, y=mx+b. Midterm Score, x 82 65 69 Final Exam Score, y b)The midterm score of a student was 88%. Use the regression line to predict the student's final exam score. 87 67 78 a) y = ☐ (Simplify your answer. Round to five decimal places as needed.) b) The student's final exam score is (Simplify your answer. Round to two decimal places as needed.).
***PLEASE INCLUDE EXCEL OUTPUT WITH YOUR RESPONSE
A study tests the effect of earning a Master's degree on the salaries of professionals. Suppose that the salaries of the professionals (S,) are not dependent on any other variables. Let D, be a variable which takes the value 0 if an individual has not earned a Master's degree, and a value 1 if they have earned a Master's degree. What would be the regression model that the researcher wants to test? A. S,= Po + B,D,+u, i=1, .. , n. O B. S,= Po + B, + u, i= 1, .. , n. OC. 1=6o +B1,S, + u, i= 1, .. , n. O D. 0=Bo +B, S, + u,, i= 1, .. , n. Suppose that a random sample of 160 individuals suggests that professionals without a Master's degree earn an average salary of $59,000 per annum, while those with a Master's degree earn an average salary of $80,000 per annum. The OLS estimate of the coefficient B, will be $ and that of B, will be $ Click to select your answer(s). DELL
The volume (in cubic feet) of a black cherry tree can be modeled by the equation y = - 50.8 + 0.3x, +4.5x,, where x, is the tree's height (in feet) and x, is the tree's diameter (in inches). Use the multiple regression equation to predict the y-values for the values of the independent variables. x, = 70, x, = 8.6 The predicted volume is cubic feet. (Round to one decimal place as needed.)
Please solve only part d) and part e)
A teacher wants to form a linear regression equation to predict a student's Score on the final based on the number of hours they spent studying for it. Final scores are in percents. y=2x + 60 R-Squared = 0.65 %3D What does the slope mean in terms of the situation? O For each additional hour a student studies, their grade on the final increases by 2%. O For each additional 2 hours a student student studies, their score on the final increases by 1%. O Every hour a student studies, increases their score on the final. O Always choose C. O The more a student studies, the better they will do on the final.
A weight-loss clinic would like to have an equation to estimate the number of hours a person should exercise per week (Y), given their age (x1) and the number of calories they eat per day (x2). After collecting data, the clinic is able to perform linear regression and discovers that the correct coefficient for the "age" variable is 13, the correct coefficient for the "calories per day" variable is 23, and the "constant" is -16. Given this information, what would the prediction equation look like to allow the clinic to predict the number of hours of exercise given age and calories? Y =-16x1 + 23x2 + 13 OY= 23 - 16x1 + 13x2 OY= -16 + 13x1+ 23x2 OY = -16 +23x1 + 13x2

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