The table below shows the weights z to the nearest pound, heights x to the nearest inch,and ages y to the nearest year, of 12 boys. Find the least-squares regression equation of z onx and y.Weight (2) 64 71 53 67 55 58 77 57 56 51 76 68Height (x) 57 59| 49 62 51 50 55 48 52 42 61 578 10 6 11 8 7 10 9 10 6 12 9Age (y)O a. z = 4.39 + 0.821x + 1.576yOb.z = 3.22 + 0.805x + .006y:06Z = 3.65 + 0.855x + 1.506y

Step-by-step procedure to find the regression line using Excel: In Excel sheet, enter z, x and y in…

Answered: The table below shows the weights z to…

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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The following table number of absences (x) and the grade earned on the first exam (y) for a Statistics class. 3. 9. 5 8. y 86 76 91 54 84 54 The least-squares regression line is in the form y= bo + b,x. Compute the value of bo. That is, compute the intercept. Round your answer to two decimal places. Write only a number as your answer. Your Answer: Answer
Consider the following. X Y 1 3 5 2 9 7 11 7 5 5 (a) Find an equation of the least squares line for the data given above. (Round your numerical values to two decimal places.) y= (b) Draw a scatter diagram for the data and graph the least squares line. y 15 10 5 15 10) Need Help? 2 Pe 10 @O 08 15 10 15 10 10 10 X 5
I need the right answer to d, e, and f ASAP, please.
Complete parts (a) through (h) for the data below. 30 40 50 60 70 y 90 87 82 74 Question Help v 62 (c) Graph the line found in part (b) on the scatter diagram. Choose the correct graph below. O A. OB. Ay 80- OC. Ay 80- OD. Av 20- 20 20 80 100 (d) By hand, determine the least-squares regression line. /Dound to throo donimal lncon an nondod Click to select your answer(s). M acer 9 esc # 2$ 6. 4 3 e W k h
An article gave a scatter plot along with the least squares line of x = rainfall volume (m3) and y = runoff volume (m3) for a particular location. The accompanying values were read from the plot. x 6 12 14 20 23 30 40 50 55 67 72 79 96 112 127 y 4 10 13 15 15 25 27 46 38 46 53 74 82 99 104 (a) Does a scatter plot of the data support the use of the simple linear regression model? Yes, the scatterplot shows a reasonable linear relationship.Yes, the scatterplot shows a random scattering with no pattern. No, the scatterplot shows a reasonable linear relationship.No, the scatterplot shows a random scattering with no pattern. (b) Calculate point estimates of the slope and intercept of the population regression line. (Round your answers to four decimal places.) slope intercept (c) Calculate a point estimate of the true average runoff volume when rainfall volume is 50. (Round your answer to four decimal places.) m3(d) Calculate a point estimate of the…
The total number of views a certain video has on a social media website is recorded every day for five days. The results are recorded in the table below. Day 0 1 2 3 4 5 Total Views 2018 4575 14,724 39,019 93,130 317,352 a) Determine an exponential regression of the form y = ab using the least-squares method to fit this data, where y is the total number of views the video has on day x. Round each value to four decimal places. b) Using the regression from a), how many views will the video have at the end of day 7 ? Round to the nearest whole number.
How much of the variation in average annual energy expenditures is explained by the least-squares regression line? Round the answer to at least one decimal place.
The following table shows students' test scores on the first two tests in an introductory chemistry class. First test, x Answer Second test, y 62 85 91 89 49 46 89 84 60 86 Chemistry Test Scores 93 98 54 61 98 82 87 67 74 85 84 75 81 88 Copy Data Step 1 of 2: Find an equation of the least-squares regression line. Round your answer to three decimal places, if necessary.
he table shows the minimum wage rates for the United States during different years. Year 1978 1979 1980 1990 1991 1996 1997 2007 2008 2009 Minimum hourly wage ($) 2.65 2.90 3.35 3.80 4.25 4.75 5.15 5.85 6.55 7.25 Write the least squares regression equation that models the data. Let x = time in years since 1900 and let y = minimum hourly wage. Use the equation to estimate the minimum hourly wage of a U.S. worker in 2025. Show your work. Answer:

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