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Please interpret below LM regression output as insightful results. Call: 1m(formula = Price ~ ., data = ship_info, method = qr) Residuals : Min 10

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Please interpret below LM regression output as insightful results.

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Call: 1m(formula = Price ~ ., data = ship_info, method = "qr") Residuals : Min 10 Median Max 35. 364 -3.281 -0. 308 6.113 19.678 Coefficients : Estimate Std. Error t value Pr(>|t/) (Intercept) 1. 593e+04 1. 066e+04 1. 494 0.14251 YearBuilt -7.917e+00 5. 314e+00 -1. 490 0.14359 Age. at. Sale -1.250e+01 5. 348e+00 -2.338 0. 02413 DWT 2.602e-01 9.118e-02 2. 854 0. 00662 *# Capesize 8.121e-03 8. 513e-04 9. 540 3.53e-12 **# Signif. codes: () '***' 0. 001 '**' 0. 01 '*' 0.05 '.' 0.1 ' '1 Residual standard error: 9.747 on 43 degrees of freedom Multiple R-squared: 0. 9243 Adjusted R-squared: 0.9173 F-statistic: 131.3 on 4 and 43 DF, p-value:

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