Please see attached there is no more data available An agribusiness performed a regression of wheat yield (bushels per acre) using observations on 29 test plots with four predictors(rainfall, fertilizer, soil acidity, hours of sun). The standard error was 1.19 bushels.(a) Find the approximate width of a 95% prediction interval for wheat yield. (Round your answer to 2 decimal places.)ŷi±(b) Find the approximate width using the quick rule. (Round your answer to 2 decimal places.)ŷ₁±(c) The quick rule gives a similar result.YesO No

From given data we have : Se=1.19 k=4 n=29 α=1-0.95=0.05

Answered: An agribusiness performed a regression…

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter3: Functions And Graphs

Section3.3: Lines

Problem 76E

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Table 6 shows the population, in thousands, of harbor seals in the Wadden Sea over the years 1997 to 2012. a. Let x represent time in years starting with x=0 for the year 1997. Let y represent the number of seals in thousands. Use logistic regression to fit a model to these data. b. Use the model to predict the seal population for the year 2020. c. To the nearest whole number, what is the limiting value of this model?
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Use the table of values you made in part 4 of the example to find the limiting value of the average rate of change in velocity.
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: b=35.976 7²-0.509796 T=-0.714 Use this to predict the number of situps a person who watches 7 hours of TV can do (to one decimal place)
Use the regression line to make the appropriate prediction. A random sample of records of electricity usage of homes in the month of July gives the amount of electricity used and size (in square feet) of 135 homes. A regression was done to predict the amount of eleçtricity used (in kilowatt-hours) (y) from size (x). The residuals plot indicated that a inear model is appropriate. The model is y = 0.2x+ 1271. How much electricity would you predict would be used in a house that is 2471 square feet? 494.2 kilowatt-hours O 6000.00 kilowatt-hours O 1765.2 kilowatt-hours O 776.8 kilowatt-hours 3742.2 kilowatt-hours
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).The results of the regression were:y=ax+b a=-1.235 b=37.403 r2=0.667489 r=-0.817 Use this to predict the number of situps a person who watches 9 hours of TV can do (to one decimal place)

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