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Interchanging two rows in a contingency table will not have an effect on the chi- - page 6 / 13

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Model 1:    AREA, BED, BATH, POOL, AGE      SSE1 = 250            

Model 2:    AREA, BATH, POOL                          SSE2 = 400            

a)

Test  whether neither BED or AGE are associated with PRICE, after adjusting for AREA, BATH, and POOL at the =0.05 significance level. That is, test:

b)

What statement best describes 4 in Model 1?

                a) Added value (on average) for a POOL, controlling for AREA, BED, BATH, AGE

                b)  Effect of increasing AREA by 1 unit, controlling for other factors

                c) Effect of increasing BED by 1 unit, controlling for other factors

                d) Effect of increasing BATH by 1 unit, controlling for other factors

                 e) Average price for a house with a POOL

4.

Let Y=height, X1=Length of right leg, X2 = Length of left leg. Would you expect to the following correlations to be Large (around 1) or Small (around 0)?

  Large/Small

  Large/Small

Large/Small

 Large/Small

Large/Small

5.

Late at night you find the following SPSS output in your department’s computer lab. The data represent numbers of emigrants from Japanese regions, as well as a set of predictor variables from each region.

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