A student working on a summer internship in the economic research office of a large corporation, studied the relation between sales of a product (in million dollars) and population in the firm's 50...

A student working on a summer internship in the economic research office of a large corporation, studied the relation between<br>sales of a product (in million dollars) and population in the firm's 50 marketing districts. The computer output appears below:<br>T VALUE<br>PARAMETER<br>STD ERROR<br>PR >T<br>7.411<br>0.002<br>INTERCEPT<br>1.9802<br>2.1756<br>POPULATION<br>0.7550<br>0.2192<br>0.1043<br>0.018<br>The fitted regression line is:<br>OY= 0.755 +7.411X<br>OY= 7.411+0.755X<br>O Y = 2.1756 + 0.1043X<br>OY=7.411+ 7.55X<br>

Extracted text: A student working on a summer internship in the economic research office of a large corporation, studied the relation between sales of a product (in million dollars) and population in the firm's 50 marketing districts. The computer output appears below: T VALUE PARAMETER STD ERROR PR >T 7.411 0.002 INTERCEPT 1.9802 2.1756 POPULATION 0.7550 0.2192 0.1043 0.018 The fitted regression line is: OY= 0.755 +7.411X OY= 7.411+0.755X O Y = 2.1756 + 0.1043X OY=7.411+ 7.55X

Jun 05, 2022

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A student working on a summer internship in the economic research office of a large corporation, studied the relation between sales of a product (in million dollars) and population in the firm's 50...

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