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 giverX-values, if meaningful. The table below shows the heights (in feet) and the number of stories of six notable buildings in a city.Height, xStories, y(a) x = 501 feet(c) x = 798 feet(b) x = 650 feet(d) x = 734 feet778621519510494473514745433736Find 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.OB.OC.OD.60-60-60-60-0-800800Height (feet)800Height (feet)800Height (feet)Height (feet)(a) Predict the value of y for x= 501. Choose the correct answer below.O A. 40O B. 50О с. 47O D. not meaningfulStoriesStoriesStories 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 givenX-values, if meaningful. The table below shows the heights (in feet) and the number of stories of six notable buildings in a city.Height, xStories, y(a) x = 501 feet(c) x = 798 feet778621519510494473(b) x = 650 feet514745433736(d) x = 734 feetD. not meaningful(b) Predict the value of y for x = 650. Choose the correct answer below.О А. 53В. 40C. 47D. not meaningful(c) Predict the value of y for x= 798. Choose the correct answer below.O A. 50о в. 53С. 47O D. not meaningful(d) Predict the value of y for x= 734. Choose the correct answer below.О А. 50О в. 40

Let X be the exploratory variable such that the height of the building and Y be the response…

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 (-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 (a) x = 501 feet (b) x= 650 feet (d) x = 734 feet 778 621 519 510 494 473 51 43 (C) x = 798 feet 47 45 37 36 Find 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. DA. OC. OB. Oc. OD. 60- 6어 60T 60 800 Height (feet) 800 Height (feet) 800 Height (feet) Height (feet) a) Predict the value of y for x= 501. Choose the correct answer below.

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 (-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 (a) x = 501 feet (b) x= 650 feet (d) x = 734 feet 778 621 519 510 494 473 51 43 (C) x = 798 feet 47 45 37 36 Find 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. DA. OC. OB. Oc. OD. 60- 6어 60T 60 800 Height (feet) 800 Height (feet) 800 Height (feet) Height (feet) a) Predict the value of y for x= 501. Choose the correct answer below.

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)

6th Edition

ISBN:9781337111348

Author:Bruce Crauder, Benny Evans, Alan Noell

Publisher:Bruce Crauder, Benny Evans, Alan Noell

Chapter3: Straight Lines And Linear Functions

Section3.CR: Chapter Review Exercises

Problem 15CR: Life Expectancy The following table shows the average life expectancy, in years, of a child born in...

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Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4
Life Expectancy The following table shows the average life expectancy, in years, of a child born in the given year42 Life expectancy 2005 77.6 2007 78.1 2009 78.5 2011 78.7 2013 78.8 a. Find the equation of the regression line, and explain the meaning of its slope. b. Plot the data points and the regression line. c. Explain in practical terms the meaning of the slope of the regression line. d. Based on the trend of the regression line, what do you predict as the life expectancy of a child born in 2019? e. Based on the trend of the regression line, what do you predict as the life expectancy of a child born in 1580?2300
Noise and Intelligibility Audiologists study the intelligibility of spoken sentences under different noise levels. Intelligibility, the MRT score, is measured as the percent of a spoken sentence that the listener can decipher at a cesl4ain noise level in decibels (dB). The table shows the results of one such test. (a) Make a scatter plot of the data. (b) Find and graph the regression line. (c) Find the correlation coefficient. Is a linear model appropriate? (d) Use the linear model in put (b) to estimate the intelligibility of a sentence at a 94-dB noise level.
Demand for Candy Bars In this problem you will determine a linear demand equation that describes the demand for candy bars in your class. Survey your classmates to determine what price they would be willing to pay for a candy bar. Your survey form might look like the sample to the left. a Make a table of the number of respondents who answered yes at each price level. b Make a scatter plot of your data. c Find and graph the regression line y=mp+b, which gives the number of respondents y who would buy a candy bar if the price were p cents. This is the demand equation. Why is the slope m negative? d What is the p-intercept of the demand equation? What does this intercept tell you about pricing candy bars? Would you buy a candy bar from the vending machine in the hallway if the price is as indicated. Price Yes or No 50 75 1.00 1.25 1.50 1.75 2.00