An engineer performed an experiment to determine the effect of CO2 pres-sure, CO; temperature, peanut moisture, CO, flow rate, and peanut particlesize on the total yield of oil per batch of peanuts. Table B.7 summarizes theexperimental results.a. Fit a multiple linear regression model relating yield to these regressors.b. Test for significance of regression. What conclusions can you draw?c. Use t tests to assess the contribution of each regressor to the model.Discuss your findingsd. Calculate R and Riaj for this model. Compare these values to the R andRidj for the multiple linear regression model relating yield to temperatureand particle size. Discuss your results. TABLE B.7 Oil Extraction from Peanuts DataPressureFlow RateTemp.(°C)MoistureParticle Size(bars)(% by weight)(L/min)(mm)Yield415255401.2863550255404.0521415953655404.0555095401.28994152515151515404.05241.281.285502540664159540715504159525404.05545604.0523550255601.2874415955601.2880550955604.054155502515601.282515604.05214159515604.05445509515601.2896Source: "An Application of Fractional Experimental Designs," by M. B. Kilgo, Quality Engineering, 1,р. 19-23.

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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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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.)
Would you please assist in answering this question with working out?Thank you. Q. Using a sample of recent university graduates, you estimate a simple linear regression using initial annual salary as the dependent variable and the graduate's weighted average mark (WAM) as the explanatory variable. If the regression model has an estimated intercept of 2200 and an estimated slope coefficient of 550, what is the predicted starting salary of a student with a WAM of 82?
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In R there is a dataset called diamonds that contains measurements of about 500 diamonds sold in the US. There are three variables present: price (price in US dollar), carat (weight of the diamond), and table (width of top of diamond relative to the widest point). The attached image is a screenshot of the R dataset with the regression table and all that. ANSWER THIS QUESTION IN WORDS: Discuss the regression between the variables table and price. You should address the explanatory variable, response variable, correlation, and sign. You should interpret the slope, the t and p-value, and how much is explained by the response.
We conduct a regression of size on hhinc, owner, hhsize1, hhsize2, and hhsize3. Wedo not include the constant. The regression output is reported in Table 3. Would youconclude that the home size increases with the household size? Interpret the signand magnitude of the estimated coefficients of hhsize1, hhsize2, and hhsize3
Hi please answer within 30min thanks. letter B choices are same as A. Provided in pic.
An automobile rental company wants to predict the yearly maintenance expense (Y) for an automobile using the number of miles driven during the year () and the age of the car (, in years) at the beginning of the year. The company has gathered the data on 10 automobiles and run a regression analysis with the results shown below:. Summary measures Multiple R 0.9689 R-Square 0.9387 Adj R-Square 0.9212 StErr of Estimate 72.218 Regression coefficients Coefficient Std Err t-value p-value Constant 33.796 48.181 0.7014 0.5057 Miles Driven 0.0549 0.0191 2.8666 0.0241 Age of car 21.467 20.573 1.0434 0.3314 Use the information above to estimate the annual maintenance expense for a 10 years old car with 60,000 miles.
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PVan
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please answer for what is the p value

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