Model 1: AREA, BED, BATH, POOL, AGE SSE1 = 250
Model 2: AREA, BATH, POOL SSE2 = 400
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:
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
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)?
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.