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e Chegg Study! Guided Solution × Aplia: Student Question + iiki courses aplia.com at servlet quiz?quizactionatakeQuiz&quiz; probGuid-ONAPC0 Search 7. Residual analysis Aa Aa Consider a multiple regression model of the dependent variable y on independent variables x1, x2, and x3: Using data with n 12 observations for each of the variables, a researcher obtains the following estimated regression equation for the above model y = 0.5216 + 1.24 19X1 + 0.3049x2-0.0217x3 The standard error of estimate for this equation is s- 0.6489 The table below gives the values for the independent and dependent variables and their corresponding predicted values, residuals, and leverage Predicted Residual Leverage (y -y) Value No. 15.0042 0.9326 0.4520 0.1435 0.0988 0.2440 0.0738 0.2514 0.4710 0.0440 0.3518 0.3679 0.0936 0.4082 7.9611 15.0243 0.6987 15.9368 1.0986 1.3892 -0.8676 1.1405 1.4814 -0.3408 3 -5.4086 -3.9838 0.3419-7.76367.41 0.9553 4 -0.4070 3.1600 1.1120 1.1186 4.3239 0.3301 0.2630 7.6853 11.5261 0.1471 12.3110 7-1.7893 10.0129 2846 1.3775 8 0.5359 3.5670 0.3263 1.3994 7.6694 1.8849 -0.2815 9.7355 4.8937 0.3933 12.5416 11 4.8492 -6.7252 -0.0790 -7.8382 12 -1.0189 -10.2205 0.74413.3985 0.1632 0.1862 0.0768 13.57681.2659 0.0536 0.9364 0.4631 9.4779 0.2575 12.7237-0.1821 7.5493 -0.2890 0.4771 5 1.3257 1.3240 10 8.6307 -3.8757 58:58 6:07 PM 11/28/2017

Explanation / Answer

Std deviation=sqrt((0.4631)*(0.4631)/6)=0.1890

Std residual=0.4631/0.189=2.45

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