Provide an appropriate response.Find the equation of the regression line for thegiven data.XyO-3 4 1-1 -2 0 2-10 -8 9 1 -2 -6 -1O = 2.097x + 0.552y = 0.522x - 2.097ÿy = -0.552x + 2.097Oy = 2.097x - 0.5522333 6 -8 Preliminary data analyses indicate that it isreasonable to consider the assumptions forone-way ANOVA satisfied. Use Minitab toperform the required hypothesis test using thep-value approach.The data below represent the weight losses forpeople on three different exercise programs.Exercise A Exercise B Exercise C5.84.34.96.21.15.87.88.11.27.92.58.87.39.85.1At the 1% significance level, does it appear thata difference exists in the true mean weight lossproduced by the three exercise programs?Op = 0.264Fail to reject the claim of equal meansOP=0.0024Reject the claim of equal means

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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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find the equation of the regression line. Round to 3 decimal places.
Use the given data to find the equation of the regression line. Round the final values to three significant digits, if necessary. 6 8 20 28 36 2 4 13 20 30 y OA. y = -2.79+0.897x OB. y = -3.79+0.897x OC. y=-3.79+0.801x OD. y = -2.79+0.950x TIE
Use the given data to find the equation of the regression line. Round the final values to three significant digits, if necessary. A horizontal table lists x-values in the first row and y-values in the second row. The x-values are as follows from left to right: 6, 8, 20, 28, and 36. The y-values are as follows from left to right: 2, 4, 13, 20, and 30. A. y with caret= −2.79 + 0.897x B. y with caret = −3.79 + 0.801x C. y with caret= −2.79 + 0.950x D. y with caret = −3.79 + 0.897x
37-38. Given the following data pairs (x, y): (1, 1.24), (2, 5.23). (3, 7.24). (4, 7.60), (5, 9.97), (6, 14.31), (7, 13.99).(8, 14.88), (9, 18.04), (10, 20.70). Find the regression equation O A. y = 0.490 x - 0.053 O B. y = 2.04 x O C. y = 1.98 x + 0.436 O D. y = 0.49 x
For each of the following variables, indicate whether they are categorical or numerical. Also, write down what type of graph can be drawn for each. a) Position of a university staff members. b) Weight of participants. C Air temperature on the Celsius scale D) The daily number of code lines written by a programmer
The number of initial public offerings of stock issued in a 10-year period and the total proceeds these offerings (in millions) are shown in the table. The equation of the regression line is y = 43.977x+ 19,528.57. Complete parts a and b. 379 55 18,716 29,004 42,559 30,325 67,231 65,155 21,100 12,473 31,455 27,712 Issues, x 424 457 695 500 499 74 180 158 Proceeds. (a) Find the coefficient of determination and interpret the result. (Round three decimal places as needed.)
The following table gives the data for the grades on the midterm exam and the grades on the final exam. Determine the equation of the regression line, y = bo + b₁x. Round the slope and y-intercept to the nearest thousandth. Grades on Midterm and Final Exams Grades on Midterm 66 68 71 86 78 85 62 82 79 61 Grades on Final 90 63 82 96 72 83 79 91 84 65
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states, where is thousands of automatic weapons and y is murders per 100,000 residents. 11.6 8.4 6.8 3.7 2.8 2.6 2.6 0.8 y 13.7 10.9 9.7 7.1 6.4 6.3 5.9 4.4 Use your calculator to determine the equation of the regression line and write it in the y = a + bx form. Round to 2 decimal places. According to this model, how many murders per 100,000 residents can be expected in a state with 2.4 thousand automatic weapons? Round to 3 decimal places. According to this model, how many murders per 100,000 residents can be expected in a state with 3.7 thousand automatic weapons? Round to 3 decimal places.
Which of the following is true of a linear regression line? a. Located as close as possible to all the points of a scatter chart. B. Is defined by an equation having 2 parameters: the slope and the intercept c. Provides an approximate relationship between the values of two parameters d. All of the above
Please answer with explanation. I will really upvote
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. x 11.3 8.5 y 13.4 7 3.6 2.6 2.2 2.6 0.8 11 10.2 7.4 6 5.7 6.3 4.9 * = thousands of automatic weapons y = murders per 100,000 residents Determine the regression equation in y = ax + b form and write it below. (Round to 2 decimal places) A) How many murders per 100,000 residents can be expected in a state with 10.1 thousand automatic weapons? Answer = Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 9.9 thousand automatic weapons? Answer = Round to 3 decimal places.
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 table below shows the heights (in feet) and the number of stories of six notable buildings in a city. Height, x Stories, y (b) x = 649 feet (d) x = 724 feet 766 620 520 508 494 484 (a) x = 503 feet 51 46 44 43 39 38 (c) x = 318 feet 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. O A. O B. O C. O D. 60- 60- 60 60- 0- 800 800 800 Height (feet 800 Height (feet) Height (Teet) Stories Stories:

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Provide an appropriate response. Find the equation of the regression line for the given data. x y -5 -3 4 1 -10 -8 9 1 = - O = 2.097x + 0.552 0.522x 2.097 - Ov= O = 2.097x - 0.552 -0.552x + 2.097 -2 0 2 6-1 3 43 3 6 -8