Suppose a computerized multiple regression output indicates an adjusted multiple

Question

Suppose a computerized multiple regression output indicates an adjusted multiple coefficient of determination r_a^2 = 0.8856, a standard error of estimate s = 7.6 and the ANOVA test statistic F = 12.37 with associated p-value = 0.049. Which of the following are true? Circle all which are correct. a. The regression model is statistically significant at alpha = 0.05 b. The independent variables are all statistically significant at alpha = 0.05 c. The estimated multiple linear regression equation is a strong fit d. The typical error in estimation using y^is 0.8856 e. The regression model is statistically significant at alpha = 0.01 f. The residuals satisfy the plusminus 2 Rule since r^2 = 0.8856 Use Excel to find the estimated multiple regression equation that relates dependent variable y to the independent variables x_1 and x_2. All figures are in thousands of dollars. Write the estimated multiple linear regression equation here (rounding coefficients the nearest thousandth).

Explanation / Answer

The regression model is statistically significant at alpha = 0.05.

The estimated multiple linear regression equation is a strong fit.

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