An agricultural scientist planted alfalfa on several plots of land, identical except for the soilpH. Fol-lowing are the dry matter yields (in pounds per acre) for each plot.pH4.64.85.25.45.65.86Yield1056183316291852178326472131a) Construct a scatterplot of yield (y) versus pH (x). Verify that a linear model is appropriate.b) Compute the least-squares line for predicting yield from pH.c) Compute the fitted value and the residual for each point.d) If the pH is increased by 0.1, by how much would you predict the yield to increase ordecrease?e) Predict the yield for a pH of 5.5.f) Can the least-squares line be used to predict the yield for a pH of 7? If so, predict the yield.If not, explain why not.g) For what pH would you predict a yield of 1500 pounds per acre?

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Answered: An agricultural scientist planted…

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 annual expenditure for cell phones varies by the age of an individual. The average annual expenditure E(a) (in $) for individuals of age a (in years) is given below:a: 20, 30, 40, 50, 60, 70E(a): 502, 658, 649, 627, 476, 2131. Use quadratic regression to find the model that best represents the data.2. At what age is the yearly expenditure for cell phones the greatest? Round the answer to the nearest year. YOU MUST SHOW THE WORK FOR THIS PART!
Þata on the relationship between plant age and dry matter in the stalk are given in the Table. X (Age) 4 6 8 10 12 14 16 18 Y (Dry matter, %) 24 28 35 48 44 49 51 | 51 i) Express the relationship between the exhausted age and dry matter level with the regression equation (Ý = aX + b). ii) Using the obtained equation, estimate what the dry matter% of plants with ii) a age of 22 weeks will be. iii) By drawing the skater diagram, find the correlation coefficient and interpret the found values. iii)
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An unknown metal has been found and the following experimental results have been tabulated in the table below. The table contains the grams of the unknown metal and the volume in milliliters of water displacement. Find a linear model that express volume as a function of the mass. Round your answers to 3 decimal places Volume in ml 231.3 260.3 289.2 315 347 364.9 396.9 grams 20 22.5 25 27.5 30 32.5 35 Volume = x + where x is the grams of the unknown metal
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An unknown metal has been found and the following experimental results have been tabulated in the table below. The table contains the grams of the unknown metal and the volume in milliliters of water displacement. Find a linear model that express volume as a function of the mass. Round your answers to 3 decimal places grams Volume in ml 13 176.7 15.5 210.7 18 249.6 20.5 278.7 23 309.5 25.5 339.7 28 373 Volume where x is the grams of the unknown metal
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1 2 3 4 5 6 793 8538 32230 90132 188700 350742 Use linear regression to find an linear function that best fits these data. y =
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An unknown metal has been found and the following experimental results have been tabulated in the table below. The table contains the grams of the unknown metal and the volume in milliliters of water displacement. Find a linear model that express volume as a function of the mass.Round your answers to 3 decimal places grams Volume in ml 17 176.5 18.5 190.2 20 205.6 21.5 221 23 238.9 24.5 254.4 26 275.5 Volume == x+x+ where x is the grams of the unknown metal

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