Given are the set of Y (price) and X (demand) of a certain commodity. X- {9,7,8,9,3,2} and Y- {6,5,7,6,9,8} respectively. a. The equation of the regression line is y=3.6712+4.2318x y=3.6712-4.2318x y=9.1972-0.3732x none of these b. What will be the price of a commodity if the demand is 12? 3.9724 4.1788 5.7689 none of these

Given are the set of Y (price) and X (demand) of a certain commodity. X- {9,7,8,9,3,2} and Y- {6,5,7,6,9,8} respectively. a. The equation of the regression line is y=3.6712+4.2318x y=3.6712-4.2318x y=9.1972-0.3732x none of these b. What will be the price of a commodity if the demand is 12? 3.9724 4.1788 5.7689 none of these

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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19.
The number of initial public offerings of stock issued in a 10-year period and the total proceeds of these offerings (in millions) are shown in the table. The equation of the regression line is y = 47.018x+ 18,440.06. Complete parts a and b. 150 183 56 69 397 478 500 686 Issues, x Proceeds, 19,915 29,368 43,272 30,252 65,200 66,431 20,344 10,189 32,069 473 415 27,552 (a) Find the coefficient of determination and interpret the result. (Round to three decimal places as needed.) How can the coefficient of determination be interpreted? The coefficient of determination is the fraction of the variation in proceeds that can be explained by the variation in issues. The remaining fraction of the variation is unexplained and is due to other factors or to sampling error. Lion O The coefficient of determination is the fraction of the variation in proceeds that is unexplained and is due to other factors or sampling error. The remaining fraction of the variation is explained by the variation in…
Suppose that in R we have loaded the cps dataset, which contains the variables wage, educ, and exper. We want to run a regression of wage on edục and exper and save the output in a variable called regout. What is the correct command for this operation? O a. regout = 1m(wage = educ + exper, data = cps) O b. 1m(wage educ + exper, data = cps) 1m(wage educ + exper, data = cps) O e. regout <- lm(wage - educ + exper, data = cps) Clear my choice
z score z score for each for each value of value of Zzły х х -0.278 0.536 -0.149 -0.089 0.696 -0.062 -1.253 -1 -1.652 2.070 -0.714 -0.928 0.663 2.461 1.473 1.671 0.536 0.371 0.199 -0.089 4 -0.278 0.025 Σ: ỹ = 3.857 S, = 3.078 = 5.207 T= 4.286 s, = 3.200
The number of initial public offerings of stock issued in a 10-year period and the total proceeds of these offerings (in millions) are shown in the table. The equation of the regression line is y = 48.314x+18,056.64. Complete parts a and b. 67 197 152 Issues, x 415 458 681 481 483 377 66 Proceeds, 19,061 29,468 43,357 30,436 65,907 65,385 20,287 10,145 31,744 27,934 ly (a) Find the coefficient of determination and interpret the result. 0.284 (Round to three decimal places as needed.) How can the coefficient of determination be interpreted? The coefficient of determination is the fraction of the variation in proceeds that is unexplained and is due to other factors or sampling error. The remaining fraction of the variation is explained by the variation in issues. The coefficient of determination is the fraction of the variation in proceeds that can be explained by the variation in issues. The remaining fraction of the variation is unexplained and is due to other factors or to sampling…
Ay 10- to 10--8-8- 40 *.*** Consider the scatterplot given above. Which of the following could be the value of r? O A. -0.236 OB. 0.213 C. 0.998 O D. 0.875 Given that the regression line has a slope of -0.942 and a y-intercept of -1.767, find the slope-intercept equation of the regression line. y =-0.942x+ 1.767 Use the regression line to predict the y-value for the x-value of -4.206. (Round to three decimal places). y = 2.195 I am Confide I am Val I am Stro
| Find the regression lines of Y on X and X on Y for the following data. EX = 70, EY = 83, EX? = 590, EY² = 755, EXY= 640, n= 10.
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 table shows the numbers of new-vehicle sales (in thousands) in the United States for Company A and Company B for 10 years. The equation of the regression line is ModifyingAbove y with caret equals 0.993 x plus 1 comma 195.82y=0.993x+1,195.82. Complete parts (a) and (b) below. New-vehicle sales left parenthesis Company Upper A right parenthesis comma x(Company A), x 4 comma 1674,167 3 comma 8823,882 3 comma 5693,569 3 comma 4433,443 3 comma 2993,299 3 comma 1173,117 2 comma 8372,837 2 comma 4982,498 1 comma 9401,940 2 comma 0842,084 New-vehicle sales left parenthesis Company Upper B right parenthesis comma y(Company B), y 4 comma 9204,920 4 comma 8444,844 4 comma 8374,837 4 comma 7104,710 4 comma 6754,675 4 comma 4284,428 4 comma 6604,660 3 comma 8323,832 2 comma 9272,927 2 comma 7532,753 Question content area bottom Part 1 (a) Find the coefficient of determination and interpret the result.…
Given are the set of Y (price) and X (demand) of a certain commodity. X- {9,7,8,9,3,2} and Y- {6,5,7,6,9,8} respectively.a. The equation of the regression line isy=3.6712+4.2318xy=3.6712-4.2318xy=9.1972-0.3732xy=9.1972+0.3732xb. What will be the price of a commodity if the demand is 12?3.97244.17885.76898.1234c. What will be the demand of a commodity if the price is 6?5.43567.23158.56709.1254d. The coefficient of correlation is equal to0.850.78-0.85-0.78
D. Only OLS assumption #2 is satisfied. The estimated regression is Y = 39+0.45X; Compute the estimated regression's prediction for the average score of students given 99, 129, or 155 minutes to complete the exam. Given 99 minutes, the estimated regression's prediction for the average score of students is Given 129 minutes, the estimated regression's prediction for the average score of students is Given 155 minutes, the estimated regression's prediction for the average score of students is (Round your responses to two decimal places.) Compute the estimated gain in score for a student who is given an additional 19 minutes on the exam. The estimated gain in score for a student who is given an additional 19 minutes on the exam is (Round your response to two decimal places.) Click to select your answer(s). W (DELL] o search PROU II
3. Suppose that the following import function for Turkey is estimated for Turkey between 1980-2015. Import, a, + a,GDP; + ażER¸ + ut In order to measure the impact of 2001 crisis the regression is estimated based on the whole and two subsamples and the following RSS are obtained. Time period: 1980-2000 , RSS1= 69 Time period: 2001-2015, RSS2 =35 Time period: 1980-2015 , RSS = 160 Carry out the Chow test whether the regressions for the two periods are different at 5% significance level. (35 P)