Given that the equation of a regression line is y = 2x - 1, what is the best predicted value for y given that x= 3? Assume that the variables x and y have a significant correlation.A. 5В. 7С. 1D. 4

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Answered: Given that the equation of a regression…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.6: Regression And Median-fit Lines

Problem 5PPS

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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
XYZ Corporation Stock Prices The following table shows the average stock price, in dollars, of XYZ Corporation in the given month. Month Stock price January 2011 43.71 February 2011 44.22 March 2011 44.44 April 2011 45.17 May 2011 45.97 a. Find the equation of the regression line. Round the regression coefficients to three decimal places. 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 the stock price to be in January 2012? January 2013?
Market supply The following table shows the quantity S of wheat, in billions of bushels, that wheat supplies are willing to produce in a year and offer for sale at a price P, in dollars per bushel. S = quantity of wheat P = price 1.0 1.35 1.5 2.40 2.0 3.45 2.5 4.50 In economics, it is customary to plot S on the horizontal axis and P on the vertical axis, so we will think of S as a variable and of P as a function of S. a. Show that these data can be modeled by a linear function, and find its formula. b. Make a graph of the linear formula you found in part a. This is called the market supply curve. c. Explain why the market supply curve should be increasing. Hint: Think about what should happen when the price increases. d. How much wheat would suppliers be willing to produce in a year and offer for sale at a price of 3.90 per bushel?
A data set consists of these points: (2, 4), (4, 7), (5, 12). Malinda found the regression equation to be ŷ = 2.5x- 1.5. Is she correct? A. No. Both a and bare incorrect. O B. No. The value for b is incorrect. C. No. The value for a is incorrect. O D. Yes. This is the correct equation.
Refer to the data set: Part a: Make a scatterplot and determine which type of model best fits the data.Part b: Find the regression equation, round to two decimal places if necessary.Part c: Use the equation from Part b to determine y when x = -3.6.
Q2) Convert the data in table below into information using regression approach. X 1 2 3 4 5 6 Y 6 1 9 5 17 12
The regression line for a data set showing the monthly utility bill U in a certain city versus the square footage F of the residence is given by U = 0.2F − 100 dollars. What monthly utility bill would be expected for a 2500 square foot home in this city? $
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. (b) x = 3.5 hours Hours spent studying, x Test score, y (a) x = 2 hours (c) x = 15 hours 1 2 4 40 45 51 49 62 67 (d) x = 1.5 hours Find the regression equation. (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)
The regression equation for for the association between BMI and total cholesterol level is: y = 28.07 + 6.49x A.) Suppose a participant has a BMI of 26. What would we estimate the total cholesterol to be? B.) Suppose two individuals have a mean BMI that differs by 3 units. What is the estimated difference in total cholesterol. C.) What ranges of BMI should the equation be used to predict total cholesterol?
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. font size decreased by 1 font size increased by 1 Hours spent studying comma xHours spent studying, x 0 1 3 3 5 5 (a) xequals=2 hours (b) xequals=2.52.5 hours Test score, y 40 43 52 48 62 67 (c) xequals=15 hours (d) xequals=1.51.5 hours Find the regression equation. ModifyingAbove y with caretyequals=nothingxplus+left parenthesis nothing right parenthesis (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.) (a) Predict the value of y for xequals=2. Choose the correct answer…
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 1 Test score, y 39 A. Test score 80- Find the regression equation. y = 5.5 x + (35.5) (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.) Choose the correct graph below. 0- 1 3 45 52 0 8 Hours studying B. Test score A 80- 3 5 5 48 61 67 0- 0 8 Hours studying N Test score 80- (a) x = 2 hours (c) x = 15 hours 0- 0 8 Hours studying ✔ (b) x = 2.5 hours (d) x = 3.5 hours Test score A 80- 8 0 Hours studying
We Need to find the regression line for X and Y. if b1=4.4 and the average of X=1.4 and the average of Y=2.5, find bo: a. -9.60 b. -3.66 c. 8.66 d. 12.40

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Given that the equation of a regression line is y = 2x - 1, what is the best predicted value for y given that x = 3? Assume that the variables x and y have a significant correlation. O A. 5 в. 7 с. 1 O D. 4