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A real estate agency collected the data shown below, where
y = sales price of a house (in thousands of dollars)
x1 = home size (in hundreds of square feet)
x2 = rating (an overall rating for the house expressed on a scale from 1 (worst) to 10 (best).
Sales Price (y) Home Size (x1) Rating (x2)
180.0 23 5
98.1 11 2
173.1 20 9
136.5 17 3
141.0 15 8
165.9 21 4
193.5 24 7
127.8 13 6
163.5 19 7
172.5 25 2
The agency developed the following regression model:
y = βo + β1 x1 + β2 x2+ €
a) Show why this may be a reasonable model for the relationship between the sales price and home size?
b) What factors are represented in the error term in this model? Give a specific example of these factors.
If the data set contains an odd number of items, the middle item of the array is the median. If there is an even number of items, the median is the average of the two items. If the
Quota sampling Under this method enumerators shall select the respondents in place of those not available, as per the quota fixed according to guide lines provided to them.
how to analyzePractice-Based Evidence Back to the Future
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discuss the mathematical test of adequacy of index number of formulae. prove algebraically that the laspeyre, paasche and fisher price index formulae satisfies this test. What is
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