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A statistician wanted to determine whether the demographic variables of age, education and income influence the number of hours of television watched per week. A random sample of 25 adults was selected to estimate the multiple regression model .
Where:
y = number of hours of television watched last week. = age. = number of years of education. = income (in $1000s).
The computer output is shown below.
THE REGRESSION EQUATION IS S = 4.51 R-Sq = 34.8%. Is there sufficient evidence at the 1% significance level to indicate that hours of television watched and education are negatively linearly related?
Marginal Revenue
The extra revenue obtained by selling an additional unit of a product or service.
International Marketing Agreement
An arrangement between parties from different countries to promote and distribute a product or service globally.
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Firms in a duopoly (a market with only two producers) that set their output levels independently to maximize profits, anticipating the other's response.
Inverse Demand
A representation of demand that shows how the quantity demanded of a good or service varies inversely with price.
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