Regressions HSIEH Hw 2

# Regressions HSIEH Hw 2 - Regressions and Forecasting...

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Regressions and Forecasting: Professor Hsieh Homework Assignment 2 I. 1. 7.75 7.50 7.25 7.00 6.75 6.50 8.25 8.00 7.75 7.50 7.25 7.00 6.75 6.50 Logged first-weekends gross rev Logged total gross revenues Scatterplot of Logged total gross reven vs Logged first-weekends gr 18.5 18.0 17.5 17.0 16.5 16.0 15.5 8.25 8.00 7.75 7.50 7.25 7.00 6.75 6.50 Logged Budget Scatterplot of Logged total gross revenues vs Logged Budget

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2. Regression Analysis: Logged total gross revenues versus Logged Budget The regression equation is Logged total gross revenues = 5.67 + 0.108 Logged Budget 16 cases used, 2 cases contain missing values Predictor Coef SE Coef T P Constant 5.668 2.268 2.50 0.026 Logged Budget 0.1083 0.1321 0.82 0.426 S = 0.368010 R-Sq = 4.6% R-Sq(adj) = 0.0% Analysis of Variance Source DF SS MS F P Regression 1 0.0910 0.0910 0.67 0.426 Residual Error 14 1.8960 0.1354 Total 15 1.9871 Unusual Observations Logged Logged total Obs Budget gross revenues
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## This note was uploaded on 08/27/2008 for the course ECON -0019 taught by Professor Hsieh during the Spring '08 term at NYU.

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Regressions HSIEH Hw 2 - Regressions and Forecasting...

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