Question 16 (6 points) Regression analysis was applied between the price of a product (in $100s) and the number of units of this product sold (within a certain time period), and the following information was obtained: $\hat{y} = 17.6 - 30.1x$ n = 56 SSR = 131.6 SST = 389.8 $s_{b_{1}} = 2.0238$ What is the value of t-statistic computed from the above data? Round your answer to three decimal places.
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In this case, the estimated coefficient is -30.1 and the standard error is Sbā = 2.0238. Show moreā¦
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The regression output below is based on the number of Internet Ads and Total Sales for a local business. Determine the predicted amount of Total Sales if the local business runs 25 Internet Ads. SUMMARY OUTPUT Regression Statistics Multiple R 0.8489 R Square 0.7206 Adjusted R Square 0.6648 Standard Error 55.4177 Observations 7 ANOVA df SS MS F Regression 1 39623.23 39623.23 12.902 Residual 5 15355.62 3071.125 Total 6 54978.86 Coefficients Std. Error t Stat P-value Intercept 26.32 51.0396 -0.51575 0.6280 Internet Ads 9.51 2.64882 3.591916 0.0157
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