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Topic: Miscellaneous
Number of pages / Number of words: 7 / 1804
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The R squared value is only .315185, so this indicates that only 31.5185% of the variability in the stock price can be explained by the multiple regression model. The standard error is 16.93964875, so 90% of the actual stock price will be within +/- $16.93964875 of the estimated stock price. The MAPE is 1...


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The standard error is 16.93964875, so 90% of the actual stock price will be within +/- $16.93964875 of the estimated stock price. The MAPE is 1.0943, which indicates that, on average, the estimates are off by 109.43%. So, given these values, the model is not a very good fit.

Identify any potential problems with the data or with the model...


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General points of the essay

Dtermining House Price Using Regression IBM'S STOCK PRICE investment strategy linear programming Linear Programming.,Corporation Linear Programming: Blending Predictability Of Stock Price Returns In Select Emerging Markets Regression Model The Advantages And Disadvantages Of Free Market Economy, Price Determination With Market Forces. And Government Intervention With Free Market Equilibrium Price And The More Suitable Model For The Sudan The main idea of a multiple regression analysis Definitions of Linear Programming: Linear Programming A507 MBA Linear Regression & Best Line Analysis Foreign Exchange Rate Sensitivity and Stock Price Decision Modeling/Linear Programming Linear Programming

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