As practiced by many in buying skirts or pants, they use the neckline to check if the waistline ofthe skirts or pants fits them. We would like to study this claim by using a random sample ofneckline and waistline of 15 people.The data collected are summarized as follows:Subject12 3451781691011 12 1314 15Neckline35 343845 38 33 38 42 4433 35 3133 35 30(cm)Waistline(cm) 83 6697 100 86 82 77 82 916293 5767 93 57Construct a scatter plot for the waistline and neckline using the data presentedWhat does the scatter plot tell you about the sign of the slope of the regression equation?(positive or negative)1-2. Estimate the regression line of neckline and waistline. Using the model, we wish toestimate the waistline given information about the neckline. Solve for the y intercept, aand the slope, b. Round off final answers to two decimal places.a =b =3-4. The regression equation is:Waistline'=neckline5. Using the regression equation/model for waistline in Number 3-4, estimate thewaistline if the neckline of a person is 37 cm. Round off final answer to two decimal places.6-8. Solve for the coefficient of determination, r2 (Express the answer in percentage form, r2x 100%; Round off final answers to two decimal places):E(y – 9)² :E(y – 9)² =9. Solve for the coefficient of nondetermination (Express the answer in percentage form;Round off final answer to two decimal places):10-11. Interpret the computed coefficient of determination and nondetermination of theregression model. Express the answers in percentage form; Round off final answers to twodecimal places.% of the variation of waistline is due to the variation of neckline;% is due to chance.12-13. Solve for the standard error of estimate, sest (Round off final answers to two decimalplaces):E(y – y)? =Sest =Does the regression model estimated conform with the scatter plot? (Yes or No or Cannot bedetermined)

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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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Below the Regression Equation, identify its slope and the y-intercept. Write the interpretation of the slope of the line of regression
K Different hotels in a certain area are randomly selected, and their ratings and prices were obtained online. Using technology, with x representing the ratings and y representing price, we find that the regression equation has a slope of 125 and a y-intercept of -351. Complete parts (a) and (b) below. a. What is the equation of the regression line? Select the correct choice below and fill in the answer boxes to complete your choice. OA.y= OB.
What is the dollar amount of change in sales for each new year according to the regression (slope) model? Do not use commas or $ in your answer.
An experiment is run. The mass of an object is recorded over time. Time (min) Mass (g) 32 40 36 32 37 32 39 30 50 27 Using your calculator, run a linear regression to determine the equation of the line of best fit. Round to two decimal places, use x for the variable.y=Using your equation, estimate the mass of the object at 41 minutes.grams=
pediatrician wants to determine the relation that exists between a child's height, x, and head circur nd head circumferences and obtains the accompanying data. Complete parts (a) through (e). Data Table A Click the icon to view the data table. Round to four decimal places as needed.) Full data set B Нead Head (b) Use the regression equation to predict the head circumference of a child who is 25 inches tall. Height, x circumference, Height, x circumference, (inches) (inches) y (inches) y (inches) The predicted value of the head circumference of a child who is 25 inches tall is 17.05 inches. (Round to two decimal places as needed.) 27.75 17.7 26.5 17.3 24.5 17.1 27 175 25.5 17.1 26.75 17.3 (c) Compute the residual based on the observed head circumference of the 25-inch-tall child in the t 26 26.75 17.5 17.3 25 16.9 27.5 17.5 The residual based on the observed head circumference of the 25-inch-tall child is inches. 27.75 17.6 (Round to two decimal places as needed.) Print Done Enter your…
b. What does the symbol y represent? O A. The symbol y represents the predicted value of price. O B. The symbol y represents the amount that price increases with a 1-point increase in rating. O C. The symbol y represents the expected price when the hotel's rating is 0. O D. The symbol y represents the average price of hotels in the area.
For the data in the table, find the regression equation. Round the slope and y-intercept to two decimals. y 1 4 11 8 13 9. 16 11 17 12 18 14 22 18 24 19 26 20 38 3DR Submit Question
please help me answer this for my data analysis class
An educator wants to see how the number of absences for a student in her class affects the student's final grade by formulating the equation of the regression line. The data obtained from a sample are shown. Required: Slope of the regression line Only the final answer should be rounded-off to TWO decimal places. 12 Number of absences (x) 10 2 0 7 4 Final Grade (y) 65 68 70 94 77 96
Fill in the blank. Given a collection of paired sample data, the Given a collection of paired sample data, the y=bo+b,x algebraically describes the relationship between the two variables, x and y. y=bo+b₁x algebraically describes the relationship between the two variables, x and y. intercept of probability equation slope of regression equation
Using the weights (Ib) and highway fuel consumption amounts (mi/gal) of the 48 cars listed in the accompanying data set, one gets this regression equation: y = 58 9-0.00749x, where x represents weight Complete parts (a) through (d). Click the icon to view the car data. 東 b. What are the specific values of the slope and y-intercept of the regression line? O A. The slope is 58.9 and the y-intercept is 0.007499. B. The slope is -0.00749 and the y-intercept is 58.9. O C. The slope is 58.9 and the y-intercept is -0.00749. O D. The slope is 0.00749 and the y-intercept is 58.9. c. What is the predictor variable? O A. The predictor variable is highway fuel consumption, which is represented by x. B. The predictor variable is weight, which is represented by x. O C. The predictor variable is weight, which is represented by y O D. The predictor variable is highway fuel consumption, which is represented by y. d. Assuming that there is a significant linear correlation between weight and highway fuel…
The data shows the scores of 8 employees in an admission test and their academic performance. 1. Trace the regression line 2. What is the slope of the line? 3. What is the y-intercept? Score in admission test (x) 52 Grade (y) 80 61 79 86 79 45 95 90 75 58 82 60 80 45 70

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