When Y is regressed on X, B, > 0, sx# 0, sy# 0, and the fraction of the variation in Y explained by the least-squares regression of Y on X does not equal 1. In this example, the sum of the squares of the deviations of the actual Y-values from their mean would definitely be greater than the sum of the squares of the deviations of the predicted Y-values from their mean. A) B) true false

ENGR.ECONOMIC ANALYSIS
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Author:NEWNAN
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Chapter1: Making Economics Decisions
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When Y is regressed on X, B, > 0, sx+ 0, sy # 0, and the fraction of the variation in Y explained
by the least-squares regression of Y on X does not equal 1. In this example, the sum of the
squares of the deviations of the actual Y-values from their mean would definitely be greater than
the sum of the squares of the deviations of the predicted Y-values from their mean.
1
A)
B)
true
false
4.
When Y is regressed on X, the sample slope is negative, sx + 0, sy + 0, and Y; = Y; for every
observation. In this example, the sum of the squares of the deviations of the predicted Y-values
from their mean would definitely be less than the sum of the squares of the deviations of the
actual Y-values from their mean.
A)
В)
true
false
3.
Transcribed Image Text:When Y is regressed on X, B, > 0, sx+ 0, sy # 0, and the fraction of the variation in Y explained by the least-squares regression of Y on X does not equal 1. In this example, the sum of the squares of the deviations of the actual Y-values from their mean would definitely be greater than the sum of the squares of the deviations of the predicted Y-values from their mean. 1 A) B) true false 4. When Y is regressed on X, the sample slope is negative, sx + 0, sy + 0, and Y; = Y; for every observation. In this example, the sum of the squares of the deviations of the predicted Y-values from their mean would definitely be less than the sum of the squares of the deviations of the actual Y-values from their mean. A) В) true false 3.
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