**Exercise 15.13 Algo (Multiple Coefficient of Determination)****The following estimated regression equation is based on 30 observations.**\[\hat{y} = 18 + 3.8x_1 - 2.5x_2 + 7.6x_3 + 2.3x_4\]- The values of SST and SSR are 1,804 and 1,758, respectively.a. Compute $ R^2 $ (to 3 decimals).[Input box]b. Compute $ \overline{R}^2 $ (to 3 decimals).[Input box]c. Comment on the goodness of fit.- The estimated regression equation [Select drop-down menu with the option provided an excellent fit].[Checkbox] **Feedback Section**- Feedback Status: Partially Correct[Collapsible feedback section open with the text "Partially Correct"]**Icon Key**At the bottom of the page, there's a Key that appears as an icon or symbol guide related to the feedback.**Hints Section**- Several links stating "Hint(s)" and "Check My Work" are available for further assistance.---This transcription provides the context and structure of a regression analysis problem, accessible for learners on an educational platform. It includes the regression equation, instructions for calculation, an area for input, feedback notes, and supplementary resources.

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Answered: is Algo (Multiple coercent of Dete…

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 regression analysis shows that r^2 = 0.4688. What would the correlation be? A. r = √0.4688 B. r = −√0.4688 C. Both A and B. D. None of the above.
Write Regression equation, identifying all parts. Show all work here. 45 observations were selected. SSxx=87.34 SSxy=193.02 Ex=297.5 Zy=385 xbar = Three decimal places ybar = Three decimal places b1 = Three decimal places bo = Three decimal places regression equation =
Construct the equation of the regression line. An editing firm compiled the following table which lists the number of pages contained in a piece of technical writing and the cost of proofreading and correcting them (in dollars). Assume there is a significant linear relationship between X and Y and construct the equation of the linear regression line. Number of Pages, x 7 12 4 14 25 30 Cost, y 128 213 75 250 446 540 a.) y^= 17.9(x) + 1.6 b.) y^= 7.1(x) + 15.4 c.) y^= 15.4(x) + 7.1 d.) y^= 1.6(x) +
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Due in 3 hours, 41 minutes. Due Sat 04/18/2020 11:59 pm Show Intro/Instructions A regression was run to determine if there is a relationship between hours of study per week (x) and the final exam scores (y). The results of the regression were: у-ах+b a=6.704 b=30.59 p2=0.972196 r=0.986 Use this to predict the final exam score of a student who studies 8.5 hours per week, and please round your answer to a whole number. Hint: Help License Points possible: 1 This is attempt 1 of 3. Message instructor about this question Submit
** Based on the regression results, answer the following questions ** A sample of data is collected (from 1999 and 2000) concerning the compensation of the executives (compensation is measured in 1000’s of $’s) of a number of public companies along with other firm-specific data. The dependent variable is total compensation, CEOANN is a dummy variable =1 for an individual who is a CEO and =0 for individuals who are not CEO’s, EMPL is total employees, MKTVAL is the natural logarithm of the market value of the firm, EPSIN is earnings per share, YEAR is a dummy variable = 1 for the year 2000 and =0 for year 1999, and ASSETS is the natural logarithm of the total assets of the company. Based on the regression results, answer the following questions b) What is the estimated regression equation? c) What percentage of the variation in income in explained by the regressors? d) What is the standard error of the error term in the regression equation?
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The estimated regression equation for a model involving two independent variables and 10 observations follows. y = 33.0798 + 0.6071x1 + 0.7058x2 a. Interpret b₁ and b2 in this estimated regression equation (to 4 decimals). b₁ = - Select your answer - b₂ = - Select your answer - b. Estimate y when *₁ = 180 and ₂ = 310 (to 3 decimals).

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