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The Practice Of Statistics - 4 Edition - Chapter 12 - Problem R12.2
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Solutions for The Practice of Statistics | 4th Edition | ISBN: 9781429245593 | Authors: Daren S. Starnes; Dan Yates; David S. Moore 9781429245593

Solution for problem R12.2 Chapter 12

Solved: A least-squares regression analysis was performed

The Practice of Statistics | 4th Edition


Problem R12.2

A least-squares regression analysis was performed on the data. Some computer output and a residual plot are shown below. A Normal probability plot of the residuals (not shown) is roughly linear. Predictor Coef SE Coef T P Constant 70.44 52.90 1.33 0.213 Thickness 274.78 88.18 *** *** S ? 56.3641 R-Sq ? 49.3% R-Sq(adj) ? 44.2% s Interpret computer output from a least-squares regression analysis. Casting aluminum Do these data provide convincing evidence of a straight-line relationship between thickness and gate velocity in the population of pistons formed from this alloy of metal? Carry out an appropriate significance test at the A ? 0.05 level. s Construct and interpret a confidence interval for the slope B of the population (true) regression line.

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Chapter 2: Feed Analysis Systems 1 – Proximate Analysis  Objectives: o Explain components of Proximate Analysis (ash, CP, EE, CF) o Calculate NFE o Limitations of each component o Explain and define Detergent Analysis  Proximate analysis components: o Dry matter (DM) o Ash – from this can calculate organic matter (OM); inorganic matter (minerals)  Remains after oxidizing sample; in muffle furnace  % ash = wt after/sample wt x 100%  % organic = 100 - % ash  Problems:  Doesn’t say individual minerals  Some minerals lost when burned (S, Se, Zn, I)

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Solved: A least-squares regression analysis was performed