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 foreach 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, xStories, y(a) x= 499 feet(c) x= 798 feet(b) x = 646 feet(d) x= 734 feet766620520508494484514644423937O D. not meaningful(b) Predict the value of y for x= 646. Choose the correct answer below.O A. 40O B. 46O C. 53O D. not meaningful(c) Predict the value of y for x= 798. Choose the correct answer below.O A. 53O B. 50ос. 46O D. not meaningful(d) Predict the value of y for x= 734. Choose the correct answer below.O A. 53ОВ. 50O c. 40O D. not meaningful 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 foreach 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, xStories, y(a) x = 499 feet(c) x = 798 feet(b) x= 646 feet(d) x = 734 feet766620520508494484514644423937Find the regression equation.y x+ (O(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 BOc.OD60-60-60-60-04040-800800800Height (feet)800Height (feet)Height (feet)Height (feet)(a) Predict the value of y for x= 499. Choose the correct answer below.O A. 50O B. 46O C. 40O D. not meaningful(b) Predict the value of y for x=646, Choose the correct answer below.O A. 40

Answered: Image /qna-images/answer/5d9c1b29-73e0-4907-aaa2-25d19eca5e5b.jpg

Answered: Find the equation of the regression…

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 datasetBody.xlsgives the percent of weight made up of body fat for 100 men as well as other variables such as Age, Weight (lb), Height (in), and circumference (cm) measurements for the Neck, Chest, Abdomen, Ankle, Biceps, and Wrist. We are interested in predicting body fat based on abdomen circumference. Find the equation of the regression line relating to body fat and abdomen circumference. Make a scatter-plot with a regression line. What body fat percent does the line predict for a person with an abdomen circumference of 110 cm? One of the men in the study had an abdomen circumference of 92.4 cm and a body fat of 22.5 percent. Find the residual that corresponds to this observation. Bodyfat Abdomen 32.3 115.6 22.5 92.4 22 86 12.3 85.2 20.5 95.6 22.6 100 28.7 103.1 21.3 89.6 29.9 110.3 21.3 100.5 29.9 100.5 20.4 98.9 16.9 90.3 14.7 83.3 10.8 73.7 26.7 94.9 11.3 86.7 18.1 87.5 8.8 82.8 11.8 83.3 11 83.6 14.9 87 31.9 108.5 17.3…
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The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. x 11.4 8 6.8 3.4 2.4 2.2 2.4 0.4 y 13.5 10.7 10.1 6.9 5.9 5.6 6.3 4.2 x = thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equation y = 0.85x + 3.97. Use this equation to answer the following; Special Note: I suggest you verify this equation by performing linear regression on your calculator. A) How many murders per 100,000 residents can be expected in a state with 10.3 thousand automatic weapons? Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 4.3 thousand automatic weapons? Answer= Answer = Round to 3 decimal places.
Please give solution in correct and step by step detailed format thanku
You generate a scatter plot using Excel. You then have Excel plot the trend line and report the equation and the rí value. The regression equation is reported as y = - 38.57x + 35.79 and the r2 = 0.4096. What is the correlation coefficient for this data set? r =
The following data show the brand, price ($), and the overall score for six stereo headphones that were tested by a certain magazine. The overall score is based on sound quality and effectiveness of ambient noise reduction. Scores range from 0 (lowest) to 100 (highest). The estimated regression equation for these data is ŷ = 22.054 and y = overall score. Brand Price ($) Score A 180 78 B 150 73 95 63 D 70 58 E 70 40 F 35 24 (a) Compute SST, SSR, and SSE. (Round your answers to three decimal places.) SST = SSR = SSE = (b) Compute the coefficient of determination . (Round your answer to three decimal places.) Comment on the goodness of fit. (For purposes of this exercise, consider a proportion large if it is at least 0.55.) O The least squares line provided a good fit as a small proportion of the variability in y has been explained by the least squares line. O The least squares line provided a good fit as a large proportion of the variability in y has been explained by the least squares…
Use the given data set to answer parts (a) and (b). a. Find the regression equation for the data points. b. Graph the regression equation and the data points. a. Find the regression equation for the data points. G (Use integers or decimals for any numbers in the expression. Round to two decimal places as needed.) X 5 y - 1 4 1 1 -1 3 2 2 4 Q
Name: Shalisha Robertson Topic 30-8th Core Hours spent looking for Shooting Stars Number of shooting stars seen 0 2 0 3 2 4 1 4 2 6 4 6 2 7 What is the equation of your regression line for this data eate a scatter plot with your regression line drawn in.
In order for applicants to work for the foreign-service department, they must take a test in the language of the country where they plan to work. The data below shows the relationship between the number of years that applicants have studied a particular language and the grades they received on the proficiency exam. Find the equation of the regression line for the given data. Number of years, x 4 4 3 6 2 7 3 Grades on test, y 61 68 75 82 73 90 58 93 72 滷 O A. =6.910x+46.261 O B. y = 46.261x+6.910 OC. v=6.910x-46.261 OD. O D. y = 46.261x -6.910 Fi St 5e Assig
The table shows the approximate chirping rate at various temperatures for one type of cricket. Use the linear regression feature on a graphing calculator to determine an equation of the line that best fits the data. Round to the hundredths. ⒸEncikAn/Shutterstock.com X Temperature (°F) 50 60 70 80 100 Chirps per Minute 20 80 115 150 250
Report the equation of the regression line and interpret it in the context of the problem
Suppose the mean IQ score of people in a certain country is 100. Suppose the director of a college obtains a simple random sample of 41 students from that country and finds the mean IQ is 103.2 with a standard deviation of 13.6. Complete parts (a) through (d) below. 1.51 (Round to two decimal places as needed.) Find the P-value for this hypothesis test. 0.070 (Round to three decimal places as needed.) Write a conclusion for the test. Choose the correct answer below. O A. Reject Hn. There is sufficient evidence to conclude that the mean IQ score of people in the country is greater than 100 at the a = 0.01 level of significance. VB. Do not reject Ho. There is not sufficient evidence to conclude that the mean IQ score of people in the country is greater than 100 at the g = 0.01 level of significance. O C. Reject Ho. There is not sufficient evidence to conclude that the mean IQ score of people in the country is greater than 100 at the a = 0.01 level of significance. O D. Do not reject Ho.…

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