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In regression equation, the value of y-intercept indicates the value of Y when the value of X is zero.

You have been provided with the following regression output. The dependent variable is unit sales of a product, and the independent variable is dollar value of newspaper advertising for that product. The unit of analysis is weeks; that is, each of the observations in underlying sample data represents a separate week of sales and newspaper advertising.
Regression Analysis: Sales versus Newspaper the regression equation is

Sales = 6514 + 0.0386 Newspaper

Predictor	Co-eff	SE Co-eff	T	P
Constant	6514	1138	5.72	0.000
Newspaper	0.038625	0.005494	7.03	0.000

S = 5630.70 R-Sq = 24.3% R-Sq(adj) = 23.8%

Analysis of Variance

Source	DF	SS	MS	F	P
Regression	1	1567134272	1567134272	49.43	0.000
Residual Error	154	4882532724	31704758
Total	155	6449666996

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Statistics and Probability, Statistics

Category:- Statistics and Probability
Reference No.:- M921057

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