Fitted line Sales (000) 100 90 8010 70 60 50+ 4 6 8 E Advertising (00) = Simple linear regression results: Dependent V

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Fitted Line Sales 000 100 90 8010 70 60 50 4 6 8 E Advertising 00 Simple Linear Regression Results Dependent V 1 (30.64 KiB) Viewed 32 times

State and compare the p
value from the computer printout with α =
0.05 and α = 0.01. What do these comparisons imply?
Fitted line Sales (000) 100 90 8010 70 60 50+ 4 6 8 E Advertising (00)
= Simple linear regression results: Dependent Variable: Sales (000) Independent Variable: Advertising (00) Sales (000) = 52.048356 +5.860735 Advertising (00) Sample size: 21 R (correlation coefficient) = 0.75863798 R-sq = 0.57553159 Estimate of error standard deviation: 8.1024063 Parameter estimates: Parameter Estimate Std. Err. Alternative DF T-Stat P-value Intercept 52.048356 6.5658149 0 19 7.9271739 <0.0001 Slope 5.860735 1.1546847 #0 19 5.0756152 <0.0001 Analysis of variance table for regression model: Source DF SS MS F-stat P-value Model 1 1691.2407 1691.2407 25.76187 <0.0001 Error 19 1247.3308 65.648987 Total 20 2938.5714