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A real estate company wants to study the relationship between house sales prices and some important predictors of sales prices. Based on data from recently sold homes in the area, the variables
y = sales price (in thousands of dollars)x1 = total floor area (in square feet)x2 = number of bedroomsx3 = distance to nearest high school (in miles)
are used in a multiple regression model. The estimated model is: y = 102 + .079x1 + 23x2 - 7x3
Holding the other variables fixed, what is the average change in sales price for each 100 square foot increase in floor space? In Dollars $
Is this change an increase or a decrease?
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Choosing the appropriate the sampling design for the given data
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Calculate the standard error. With 95% confidence, find out the margin of error?
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At the .05 significance level, is there a difference in the proportion of viewers watching the three channels?
What is the probability of receiving more than three pieces of junk mail today?
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