Chapter 14 - Regression 1 100 100 21.43 0.02 Residual 3 14...

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Observations TV adds Cars Sold 1 1 14 2 3 24 3 2 18 4 1 17 5 3 27 0.5 1 1.5 2 2.5 0 5 10 15 20 25 30 f(x) = 5x + 10 R² = 0.88 Cars So Axis Title Axis Title
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3 3.5 old Cars Sold Linear Re- gression for Cars Sold
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Observations TV adds Cars Sold 1 1 14 2 3 24 3 2 18 4 1 17 5 3 27 SUMMARY OUTPUT Regression Statistics Multiple R 0.94 R Square 0.88 Adjusted R Square 0.84 Standard Error 2.16 Observations 5 ANOVA df SS MS F Significance F
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Unformatted text preview: Regression 1 100 100 21.43 0.02 Residual 3 14 4.67 Total 4 114 Coefficients Standard Error t Stat P-value Lower 95% Intercept 10 2.37 4.23 0.02 2.47 TV adds 5 1.08 4.63 0.02 1.56 0.02 0.02 PV 10.13 CV Upper 95% Lower 95.0% Upper 95.0% 17.53 2.47 17.53 8.44 1.56 8.44...
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This note was uploaded on 06/08/2011 for the course BUS STAT 362 taught by Professor - during the Spring '11 term at SUNY Plattsburgh.

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Chapter 14 - Regression 1 100 100 21.43 0.02 Residual 3 14...

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