QUESTION 11 A company\'s ?? ty contro department wishes to quantify the relation

Question

QUESTION 11 A company's ?? ty contro department wishes to quantify the relationship between weight of an air conditioning unit finishing rod (Y) and its rough casting (X) Castings that are likely to produce rods that are too heavy may be discarded in the final production process. The data analyst fitted a Simple Linear Regression (SLR) model of Y on X based on 25 pairs of observations. Based on the Minitab output provided below, choose the correct answer True or False? Both the t-stat for Rough Weight and the F-stat for overall adequacy of the SL.R model indicate that Rough Weight is a good predictor of FinishedWeight. Minitab Output Correlation: RoughWeight, FinishedWeight P-valuo-0.000 Regression Analysis: FinishedWeight versus RoughWeight F d Adj MS F-Value P-Value

Explanation / Answer

Since

P-value for Roughweight in ANOVA model = 0 < 0.05

and P-value for Roughweight in coefficient table = 0 < 0.05,

so we can conclude at 5% level of signficance that Roughweight is a significant predictor.

ans-> Yes

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