Regression Homeword

Regression Homework #1 1. employ the above data auspicate the subscriber linear regression line: PRICE = 3.57488 + 1.31071 embody R-Squared = 0.983429 Adjusted R-Squared = 0.981358 tired error of judge = 2.204484 telephone number of cases used = 10 2. Test the instant (i.e. H0: ?1= 0; H1: ?1?0) of ?1 by duad the t test and F-test. uninterrupted t = 3.12244 Cost t = 21.78949 Two-Sided Variable Coefficient Std Error t Value Sig Prob Constant 3.57488 1.14490 3.12244 0.014176 appeal 1.31071 0.06015 21.78949 0.000000 Standard error of estimate = 2.204484 Durbin-Watson statistic = 2.995175 From the STORM calculation, we can learn that retail cost and equal have some kin (linear). Source SS df MS F Value Sig Prob Regression 2307.32100 1 2307.32100 474.78170 0.000000 Residual 38.87801 8 4.

85975 join 2346.19900 9 From the STORM calculation, we can take to task that regression is statistically significant. 3. If an degree cost the company $8.00, what should be its retail price? too construct a 95% confidence interval. PRICE = 3.57488 + 1.31071 salute = 3.57488 + 1.31071 * $8 = $14.06056 = $14.06 Therefore, retail price should be $14.06 if the item costs the company $8. A 95% confidence interval: Predicted --- 95.00% detachment --- Case PRICE natter situate Upper Limit Std Dev CASE 11 14.0606 Conf 12.1755 15.9457 0.8175 Pred 8.6387...If you need to get a plenteous essay, order it on our website: Ordercustompaper.com

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