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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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IBM'S STOCK PRICE
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Definitions of Linear Programming:
Linear Programming A507 MBA
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