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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Solve Qg, h , i. Slove Qg and h without using Excel. Qi using Rstudio.
answer 6
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?
J 1 The accompanying table shows results from regressions performed on data from a random sample of 21 cars. The response why variable is city fuel consumption in miles/gallons. The predictor X variables are weight weight in pounds, DISP engine displacement leaders NHW Y Highway fuel consumption in miles/gallons. It's only one predictor X variable is used to predict the city fuel consumption, which single variable is best? Why? The best variable is (WT/HWY/DISP) because it has the best combination of (large/small) p-value, (answer) and (large/small) adjusted R^2 (answer) (type integers are decimals. Do not round)
q12
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.
The table contains data on vehicle speed (h) and fuel consumption (lt / 100km) of 5 randomly selected vehicles. Estimate the average fuel consumption of a vehicle traveling at 45 km / h using the simple linear regression equation between vehicle speed and fuel consumption. Speed 55 60 65 70 75 Consumption 13 12 11 10 9 a. 15 b. 8 c. 7 d. 20
From the results shown above, write the regression equation.
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19
The table below shows (lifetime) peptic ulcer rates (per 100 population), UU, for various family incomes, xx, as reported by the 1989 National Health Interview Survey. Income 4000 6000 8000 12000 16000 20000 30000 45000 60000 Ulcer rate 14.1 13.1 13.8 12.6 11.8 11.7 11.5 9.3 7.6 (a) Find the equation of the regression line. Ulcer rate, U(x)= . (b) Estimate the peptic ulcer rate for an income level of x0= 25000 according to the linear model in part (a). Ulcer rate, U(x0)= .
3. Regression analysis breaks scores on the DV into... (explain and give equations)

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