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The linear regression results below are based on commercial properties that real estate agencies use to guide clients with quantitative information helpful to make rental

The linear regression results below are based on commercial properties that real estate agencies use to guide clients with quantitative information helpful to make rental decisions. A random sample of 29 properties are considered with data for the variables, age of the property (X1), operating expenses and taxes (X2), vacancy rates (X3), total square footage (X4), and rental rates (Y).

What is the upper limit of the 98% co

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Parameter Estimates Coefficients Standard Error Intercept 13.95245575 1.182460064 AGE(X1) -0.098446259 0.043123334 EXPENSE(X2) 0.084526639 0. 136801975 VACRATE(X3) -0.27935313 1.590414673 SQFOOT(X4) 0.079252557 0.021652369

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