7Given are five observations for two variables, and y.The estimated regression equation for these data is ŷ = 74.06 - 2.79x.a. Compute SSE, SST, and SSR.SSE(to 2 decimals)SST(to 2 decimals)SSR(to 2 decimals)b. Compute the coefficient of determination 7². Comment on the goodness of fit.*(to 3 decimals)The least squares line provided an goodfit;c. Compute the sample correlation coefficient. Enter negative value as negative number.(to 3 decimals)Hide FeedbackPartially CorrectDOD000F5F4@O:F2C#80F3$Question 2Hint(s) Check My W49 15 17 2056 57 40 21 15% of the variability in y has been explained by the estimated regression equation (to 1 decimal).AAADII۴۹۹F7%[XiYi6F6&7*FB9F9-0F10-1

For the given data Find all the requires blanks

Answered: Xi Yi Hint(s) Check M 9 15 17 20 57 40…

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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Answer the given problem. Process the data in excel and present the results. A researcher is interested in knowing how well he can predict blood pressure from sodium intake. 1. Formulate the regression equation for the data. 2. What would be the likely blood pressure reading for a patient with a sodium intake of 6.0? of 8.5? Patients Sodium BP 1 6.5 151 2 7.3 170 3 6.6 165 4 7.5 172 5 7.6 187 6 6.7 161 7 6.7 169 8 7.8 192 9 7 185 10 7.4 190 T 11 6.2 145 12 6.7 OL 143 R E S6.7
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 520 508 (a) x = 501 feet (c) x = 318 feet (b) x = 639 feet (d) x = 732 feet 766 620 46 494 484 51 45 43 39 35 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. OA. OB. Oc. Oc. OD. 60+ 60 60+ 50+ 0- 0- 800 800 Height (feet) 800 Height (feet) 800 Height (feet) Height (feet) (a) Predict the value of y for x = 501. Choose the correct answer below. O A. 40 O B. 50 C. 46 O D. not meaningful (b) Predict the value of y for x = 639. Choose the correct answer…
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. 520 492 Height, x Stories, y (a) x = 498 feet (c) x = 310 feet 764 625 510 484 (b) x = 641 feet 55 47 45 42 38 37 (d) x = 733 feet Find the regression equation. =x+
find the equation of the registration line of the given data. Then construct a scatter plot of the data and draw the regression line. (each pair of variables have a significant coordinates) then use the regression equation to predict the value of y for each of the give X-values, if meaningful. the caloric content and the sodium content ( in milligrams) for 6 beef hot dogs are show. in the table below.
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The data show systolic and diastolic blood pressure of certain people. Find the regression equation, letting the systolic reading be the independent (x) variable. If one of these people has a systolic blood pressure of 125 mm Hg, what is the best predicted diastolic blood pressure? Systolic Diastolic Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? ŷ-+x (Round to two decimal places as needed.) What is the best predicted diastolic blood pressure? y=(Round to one decimal place as needed.) C 148 115 82 83 82 136 115 127 128 140 97 60 65 93 145 101 108
Find the equation of the regression line Y= ?+(-?)X Round the constant three decimal places as needed. Round the coefficient to six decimal places as needed The best for predicted crash fatality rate for a year in which there are 425 metric tons of lemon imports is ? Fatalities per 100,000 population.(round two one decimal place as needed)
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For the provided data, develop a regression model for overall satisfaction as a function of years of service and department that has the largest R. Note that the categorical variable department has multiple levels and will require the use of multiple dummy variables. Which department, if any, has the highest impact on roduction satisfaction? Production Production E Click the icon to view the job satisfaction data. Determine the regression model for overall satisfaction as a function of years of service and department that has the largest R. Let "Administrative" be the baseline department, let X, represent Maintenance, let X, represent Management, let X, represent Production, let X, represent Quality Control, and let Xg represent Shipping / Receiving, coding each department variable with a 1 if the person is in that department and 0 otherwise. In addition, let Xe represent Years. Enter the terms of the equation so that the X-values are in ascending numerical order by base. Select the…
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