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 topredict the value of y for each of the given x-values, if meaningful. The table below shows the heights (in feet) and the number of stories of six notable buildings in a city.E Question HelpHeight, xStories, y7645562547520455104923848435(a) x= 503 feet(c) x= 310 feet(b) x = 644 feet(d) x = 731 feet41Find the regression equation.(Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)Choose the correct graph below.O A.O B.OC.OD.60-60-60-60-108000-800Height (feet)800Height fieet)800 CHeight (feet)Height (feet)(a) Predict the value of y for x = 503. Choose the correct answer below.Click to select your answer(S). Value of home and life span are two variables that have been shown to have positive correlation but no cause-and-effect relationship. Describe at least one possible reason for the correlationSelect all that apply.O A. Greater wealth allows people to afford more valuable homes and to spend more money on health care, and greater health care spending generally enables people to live longerB. Homes in large cities tend to be more valuable than homes in rural areas, large cities tend to have more pollution than rural areas, and greater exposure to pollution decreases life spans.C. People who have more valuable homes tend to live more stressful lives, and stress generally decreases life spans.O D. Exercise tends to increase life spans, people who live within walking distance of amenities tend to walk more than those who do not, and homes that are within walking distance of amenities tevaluable than homes that are not.Click to select your answer(s).O O O

Note: Hi there! Thank you for posting the question. As there are several independent questions, according to our policy we have solved the first question. If you need help with other question, please re post separately.In this case Height (x) is the independent variable and stories (y) is the dependent variable. Enter the data in Excel. Software procedure: Step-by-step software procedure to obtain regression equation using EXCEL is defined as follows: Open an EXCEL file. In Excel sheet, enter x and y columns A, and B, respectively. In Data, select Data Analysis and choose Regression. In Input Y Range, select $B$1:$B$7. In Input X Range, select $A$1:$A$7. Select Labels. Click OK. Output obtained using Excel is given below: The regression equation is, ŷ = 9.08 + 0.061x. Step-by-step procedure to obtain the scatterplot using EXCEL is defined as follows: Open an EXCEL file. In Excel sheet, enter x and y, and B, respectively. Select the data, choose Insert > Scatter. Right click on any data point and select Add Trendline. Click on Display Equation on chart and Display R-squared value on chart. Output obtained using Excel is given below: Thus, the correct scatterplot is B. a) Substitute x = 503 in the regression equation. That is, ŷ = 9.08 + 0.061(503) = 39.763. Thus, the predicted value of y for x = 503 is 39.763. b) Substitute x = 644 in the regression equation. That is, ŷ = 9.08 + 0.061(644) = 48.364. Thus, the predicted value of y for x = 644 is 48.364. c) Substitute x = 310 in the regression equation. That is, ŷ = 9.08 + 0.061(310) = 27.99. Thus, the predicted value of y for x = 310 is 27.99. d) Substitute x = 731 in the regression equation. That is, ŷ = 9.08 + 0.061(731) = 53.671. Thus, the predicted value of y for x = 731 is 53.671.

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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 Question Help predict the value of y for each of the given x-values, if meaningful. The table below shows the heights (in feet) and the number of stories of six notable buildings in a city. Height, x Stories, y 764 55 625 520 45 510 41 492 484 35 (a) x= 503 feet (c) x = 310 feet 47 (b) x= 644 feet (d) x = 731 feet 38 Find the regression equation. !3! (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.) Choose the correct graph below. O A. OB. Oc. OD. 60- 60- 60 60- of 800 G Height (teet) 300 0- 0. 0- 800 Height (feet) 800 Height (feet) Height (feet) (a) Predict the value of y for x = 503. Choose the correct answer below. Click to select your answer(S).

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 Question Help predict the value of y for each of the given x-values, if meaningful. The table below shows the heights (in feet) and the number of stories of six notable buildings in a city. Height, x Stories, y 764 55 625 520 45 510 41 492 484 35 (a) x= 503 feet (c) x = 310 feet 47 (b) x= 644 feet (d) x = 731 feet 38 Find the regression equation. !3! (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.) Choose the correct graph below. O A. OB. Oc. OD. 60- 60- 60 60- of 800 G Height (teet) 300 0- 0. 0- 800 Height (feet) 800 Height (feet) Height (feet) (a) Predict the value of y for x = 503. Choose the correct answer below. Click to select your answer(S).

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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