ChE253K Spring09 HW04Problems.Rev01

ChE253K Spring09 HW04Problems.Rev01 - ChE 253K - Applied...

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5 7.5 10 12.5 15 17.5 y 30 40 50 60 70 x ChE 253K -- Applied Statistics -- Homework #4 Due Wednesday, Feb 24 at Lecture or Friday, Feb 27 at CPE 1.420 1. Exercise 11.12 & 11.13 – Scatter plot and linear regression (JMP handles parts (a), (b), (e), (f). Parts (c), (d) are simplest by Hand.) 3. Exercise 11.12 & 11.13 – Scatter plot and linear regression (a) Make a scatter plot. Is it reasonable to assume that the regression of y on x is linear. (b) Fit a straight line by the method of least squares using JMP. Include JMP's scatter plot and tabular output with your homework. (c) Find the 95% limits of prediction for the moisture content of the raw material when the humidity of the storage space is 40%. (Hint: These are the confidence limits for a point off the regression line -- a sample point. See MFJ Text p. 350.) (d) Consider the equation you used to answer Part (c). Indicate the terms in that equation that reflect (1) the size of the sample and (2) the inherent variability of the data. Tell how
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ChE253K Spring09 HW04Problems.Rev01 - ChE 253K - Applied...

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