## Solution for problem R12.2 Chapter 12

# Solved: A least-squares regression analysis was performed

The Practice of Statistics | 4th Edition

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)

###### Chapter 12, Problem R12.2 is Solved

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Solved: A least-squares regression analysis was performed