6. We are trying to model the relationship between X = the amount of for tilizer (tons per acre), and Y = corn yield (tone per acre). The following data were obtained for n=6 experimental plots y ** y* *y 0 18 0 324 0 1 22 1 484 7 2 24 4 576 48 3 25 7 625 75 4 25 16 625 100 Total 10 114 ? 2634 245 19 20 y 21 22 23 24 25 22 23 18 (a) Compute the regression equation of Y as a linear function of X. Add the regression line to the plot. (b) Predict the yield when X = 0.1. (c) Find the value of the correlation coefficient. Extra Credit Conduct a hypothesis test of whether the correlation is significantly different from 0.

6. We are trying to model the relationship between X = the amount of for tilizer (tons per acre), and Y = corn yield (tone per acre). The following data were obtained for n=6 experimental plots y ** y* *y 0 18 0 324 0 1 22 1 484 7 2 24 4 576 48 3 25 7 625 75 4 25 16 625 100 Total 10 114 ? 2634 245 19 20 y 21 22 23 24 25 22 23 18 (a) Compute the regression equation of Y as a linear function of X. Add the regression line to the plot. (b) Predict the yield when X = 0.1. (c) Find the value of the correlation coefficient. Extra Credit Conduct a hypothesis test of whether the correlation is significantly different from 0.

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter7: Analytic Trigonometry

Section7.6: The Inverse Trigonometric Functions

Problem 94E

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