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In a multiple regression analysis involving 30 data points, the standard error of estimate squared is calculated as s2 = 1.5 and the sum of squares for error as SSE = 36. The number of the independent variables must be:
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Advancements and innovations in technology that affect productivity, efficiency, and economic growth.
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The acts of creating or designing new products or processes, especially those that lead to technological advancement.
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