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Homework 2 - Statistics

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<strong>Homework</strong> 2<br />

Due in class, Feb. 3rd<br />

Instructions: Two problems are included in the first homework. No need<br />

to use R.<br />

Problem 1 Airfreight breakage<br />

Refer to the Airfreight Breakage data in homework 1<br />

i: 1 2 3 4 5 6 7 8 9 10<br />

Xi: 1 0 2 0 3 1 0 1 2 0<br />

Yi: 16 9 17 12 22 13 8 15 19 11<br />

a. Set up the ANOVA table. (calculate the SSE, SSR, SSTO, d.f., MSE<br />

and MSR)<br />

b. Conduct an F test to determine whether or not there is a linear association<br />

between the number of times a carton is transferred and the<br />

number of broken ampules; control α risk at 0.05. State the hypotheses,<br />

the test-statistic, the decision rule and the conclusion.<br />

c. Calculate R 2 and r. What proportion of the variation in Y is accounted<br />

for by introducing X into the regression model?<br />

Problem 2 Property Assessments<br />

The data that follow show assessed value for property tax purposes (Y1, in<br />

thousand dollars) and sales price (Y2, in thousand dollars)for a sample of<br />

15 parcels of land for industrial development sold recently in ”arm’s length”<br />

transactions in a tax district.<br />

i: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15<br />

Yi1: 13.9 16.0 10.3 11.8 16.7 12.5 10.0 11.4 13.9 12.2 15.4 14.8 14.9 12.9 15.8<br />

Yi2: 28.6 34.7 21.0 25.5 36.8 24.0 19.1 22.5 28.3 25.0 31.1 29.6 35.1 30.0 36.2<br />

a. Obtain the Spearman rank correlation coefficient rs<br />

1


. Test by means of the Spearman rank correlation coefficient whether an<br />

association exists between property assessments and sales prices using<br />

test statistic t ∗ with α = 0.01. State the hypotheses, the test-statistic,<br />

the decision rule and the conclusion.<br />

2

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