Use the cubic regression model above to answer this question.Predict the percentage of female high school graduates in 2023. Round to thenearest tenth (1 decimal place).%Question 6Use the cubic regression model above to answer this question.Predict instantaneous rate of change of the percentage of female high schoolgraduates in 2024. Round to the nearest hundredth (2 decimal places).% per yearNOTE: Your answer may be negative. College EnrollmentThe percentage of female high school graduates who enrolled in college isgiven in the table below.Year19701980199020002010College Enrollment Percentages forFemales25.530.338.3Find the cubic regression model45.650.5Let a represent time (in years) since 1970, and let y represent thecorresponding percentage of female high school graduates who enrolled incollege.y = F(x) = ax³ + bx² + cx+d.where a is rounded to 6 decimal places, b is rounded to 4 decimal places, c isrounded to 3 decimal places, and d is rounded to 1 decimal place.Use this cubic regression model to answer questions 5-6 below.

Given that: Year, X College Enrollment Percentages for Females, Y 1970 25.5 1980 30.3 1990…

Answered: College Enrollment The percentage of…

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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Annual high temperatures in a certain location have been tracked for several years. Let X represent the number of years after 2000 and Y the high temperature. Based on the data shown below, calculate the linear regression equation using technology (each constant to 2 decimal places). X y 3 35.01 4 37.78 5 37.35 6 36.72 7 40.09 8 40.36 9 40.83 10 41.3 11 40.57 12 42.64 13 44.21 14 42.58 15 46.05 16 45.12 The equation is ĝ ŷ = X + Interpret the slope O For each additional 33.75 years, the annual high temperature will increase by 1 degree on average. O For each additional year, the annual high temperature will increase by 33.75 degrees on average. For each additional year, the annual high temperature will increase by 0.74 degrees on average. O For each additional 0.74 years, the annual high temperature will increase by 1 degree on average. Interpret the y-intercept O In 2000, the temperature was about 33.75. O In 2003, the temperature was about 33.75. O In 2003, the temperature was about…
Annual high temperatures in a certain location have been tracked for several years. Let x represent the number of years after 2000 and y the high temperature. Based on the data shown below, calculate the linear regression equation using technology (each constant to three decimal places). X y 3 37.64 4 37.02 5 39.4 6 40.78 7 40.76 8 44.54 9 44.42 10 46.2 11 45.58 12 46.66 13 49.54 The equation is ŷ
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The number of hours 6 students spent for a test and their scores on that test are shown below. Hours spent studying, x 0 1 3 4 5 6 (a) x=3 hours (b) x=2.5 hours Test score, y 40 44 52 49 62 70 (c) x=15 hours (d) x=1.5 hours Question content area bottom Part 1 Find the regression equation. y=enter your response herex+enter your response here (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)
The number of initial public offerings of stock issued in a 10-year period and the total proceeds these offerings (in millions) are shown in the table. The equation of the regression line is y = 43.977x+ 19,528.57. Complete parts a and b. 379 55 18,716 29,004 42,559 30,325 67,231 65,155 21,100 12,473 31,455 27,712 Issues, x 424 457 695 500 499 74 180 158 Proceeds. (a) Find the coefficient of determination and interpret the result. (Round three decimal places as needed.)
Annual high temperatures in a certain location have been tracked for several years. Let X represent the number of years after 2000 and Y the high temperature. Based on the data shown below, calculate the linear regression equation using technology (each constant to 2 decimal places). x y 4 36.68 5 35.85 6 35.52 7 35.99 8 38.46 9 38.93 10 38 11 38.07 12 39.54 13 40.11 14 41.58 The equation is y^ = x + Interpret the slope For each additional 33.38 years, the annual high temperature will increase by 1 degree on average. For each additional 0.52 years, the annual high temperature will increase by 1 degree on average. For each additional year, the annual high temperature will increase by 0.52 degrees on average. For each additional year, the annual high temperature will increase by 33.38 degrees on average. Interpret the y-intercept In 2000, the temperature was about 33.38. It does not make sense to interpret the intercept in this scenario. In 2004, the…
Find the GPA of a student if he gives average hours to study by using regression analysis. A random sample of ten students is selected from a class of 60 students, find regression line and also find the GPA of a student if he gives average hours to study by using this regression analysis. Their GPA and the hours to study are given below: GPA 2.5 3.1 3.6 3.2 2.9 3.7 2.9 2.4 3.3 3.5 Hours to study 3 5 7 5 3 8 4 2 5 7 Also interpret the regression coefficient.
The median household incomes in South Carolina from 2013 and 2017 are listed in the table below. (Source: “South Carolina Household Income.” Department of Numbers, https://www.deptofnumbers.com/income/south-carolina/) Year 2013 2014 2015 2016 2017 Median Household Income $46,548 $46,887 $48,876 $50,566 $50,570 Determine the linear regression model, I(t), where t = years since 2013 and I = Median Household Income. A. I(t) = 1172.3t + 46548 B. I(t) = 1172.3t + 46345 C. I(t) = 1172.3t D. I(t) = 1172.3t - 2E+06
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The number of hours 6 students spent for a test and their scores on that test are shown below. Hours spent studying, x Test score, y (a) x = 2 hours (c) x = 14 hours (b) x = 4.5 hours (d) x = 1.5 hours 2 3 4 4 6 38 45 51 48 64 67 Find the regression equation. ŷ =x+ (O (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.) Choose the correct graph below. A. ОВ. OD. 80- 80- Hours studying Hours studying Hours studying Hours studying (a) Predict the value of y for x = 2. Choose the correct answer below. O A. 44.5 О В. 58.8 OC. 41.7 O D. not meaningful (b) Predict the value of y for x = 4.5. Choose the correct answer below. O A. 58.8 О В. 41.7 OC.…
Tuition($) Applicant Pool Applicant 950 76210 11040 1225 78000 10940 1325 67420 8670 1350 70380 9040 1500 62580 7410 1675 59260 7080 1800 57930 6350 1975 60130 6110 a. Using POMQM, develop the multiple regression equation for these data. b. What is the coefficient of determination for this regression equation? c. Determine the forecast for freshman applicants for a tuition rate of $1700 per semester, with a pool of applicants of 63000. CAN YOU SHOW ME ALL THE ANSWER WİTH EXCELL TABLE
The table shows the yield (in bushels per acre) and the total production (in millions of bushels) for corn in a country for selected years since 1950. Let x represent years since 1900. Find a logarithmic regression model (y = a +b ln x) for the yield. Estimate the yield in 2023. Year 1950 1960 Yield 50 37 60 1970 1980 60 84 93 70 80 1990 90 116 2000 2010 100 136 110 157 The regression model is y =+( In x. (Round to one decimal place as needed.) bushels/acre. The estimated yield in 2023 is (Round to the nearest integer.)
Annual high temperatures in a certain location have been tracked for several years. Let X represent the number of years after 2000 and Y the high temperature. Based on the data shown below, calculate the linear regression equation using technology (each constant to one decimal place). X 1 2 3 4 5 6 7 8 9 10 11 y 33.99 37.78 37.27 37.16 37.65 40.54 41.13 42.52 40.11 41.9 45.69 The equation in y-ax+b form is Interpret the y-intercept of the equation: O For each additional 0.9 years, the annual high temperature will increase by 1 degree on average. For each additional 34.3 years, the annual high temperature will increase by 1 degree on average. O For each additional year, the annual high temperature will increase by 0.9 degrees on average. O For each additional year, the annual high temperature will increase by 34.3 degrees on average.

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