Consider the following monthly revenue data for an up-and-coming cyber security company.Month123456789AnswerThe summary output from a regression analysis of the data is also provided.Revenue (Thousands of Dollars)315535533574628659697709789Sales DataMultiple RR SquareAdjusted R SquareStandard ErrorRevenue=Month Revenue (Thousands of Dollars)10Observations1213141516Regression Statistics17180.9333484830.8711393920.86308560460.3607418818ANOVAdfSSMS1Regression394,091.071207 394,091.071207Residual 16 58,294.706570Total3643.41916117 452,385.777778Coefficients Standard Errort StatIntercept 460.9477124229.683131471552894488Month 28.52012384 2.742253998 10.400248796819827843855849858870901913F108.16517503Step 1 of 3: Write the estimated regression equation using the least squares estimates for bo and b₁. Round to four decimal places, If necessary.P-value4.53893E-111.58675E-08(Month)里 Ta

Degree of freedom for regression is 1.Degree of freedom for residual is 16.

Answered: Step 1 of 3: Write the estimated…

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 accompanying data are the number of wins and the earned run averages (mean number of earned runs allowed per nine innings pitched) for eight baseball pitchers in a recent season. Find the equation of the regression line. Then construct a scatter plot of the data and draw the regression line. Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. If the x-value is not meaningful to predict the value of y, explain why not. (a) x = 5 wins Click the icon to view the table of numbers of wins and earned run average. (b) x = 10 wins (c) x = 21 wins (d) x = 15 wins ERA 6- ERA 6- AERA 6- ERA 6- 4- 4- 4- 4- 2- 2- 2- 2- 0+ 6 0- 0- 0- 12 18 24 6. 12 18 24 12 18 24 6 12 18 24 Wins Wins Wins Wins (a) Predict the ERA for 5 wins, if it is meaningful. Select the correct choice below and, if necessary, fill in the answer box within your choice. A. ŷ= (Round to two decimal places as needed.) B. It is not meaningful to predict this value of y because…
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There is a linear relationship between the number of chirps made by the stiped ground cricket and the air temperature. It was determined that the linear regression model is: y = 25.2 + 3.3x where x is the number of chirps per minute and y is the estimated temperature in degrees Fahrenheit. What is the temperature if a cricket chirps 18 times? Round to the nearest degree. Di not include units.
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Step 1 of 3: Write the estimated regression equation using the least squares estimates for bo and b₁. Round to four decimal places, If necessar Answer Revenue= (Month)