Final Assessment x + € → crmitinstructure.com/courses/97589/assignments/639582 Email - RMIT Universe Dashboard G Google

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Final Assessment x + € → crmitinstructure.com/courses/97589/assignments/639582 Email - RMIT Universe Dashboard G Google

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Final Assessment X Crmitinstructure Com Courses 97589 Assignments 639582 Email Rmit Universe Dashboard G Google 1
Final Assessment X Crmitinstructure Com Courses 97589 Assignments 639582 Email Rmit Universe Dashboard G Google 1 (98.03 KiB) Viewed 27 times
Final Assessment x + € → crmitinstructure.com/courses/97589/assignments/639582 Email - RMIT Universe Dashboard G Google mit email W dbs RMIT_Lecture slides... 1 Paused : Install GnBots PC V... FM Project - Google Macroeconomic spi... ECON1064 Final Assessment Semester 2022 pdf Download Info X Close Page < 7 > of 8 - ZOOM + Question 6 The variable income (yearly) is examined in a regression setting where the predictor variable is lag (1) of income and the following output is produced. a) Write down the regression equation. (3 marks). b) Interpret the meaning of the slope. (3 marks). c) A dummy variable for gender (male=1, female=0) was added to the model. Interpret its coefficient of 1.1. (3 marks). u_change -> mode 1 (TSLM (10g (Income) - log (Lag Income) > >> report() => Series: Consumption => Model: TSLM => #> Residuals: Min 19 Median 32 Max > -2.5824 -0.2778 0.0186 0.3233 1.4223 :> => Coefficients: #> Estimate Std. Error = value Pr( #> (Intercept) 0.5445 0.0340 10.08 <2e-16 *** => Log (Dag Income) -1.1000 0.0467 5.82 2.4e-08 *** => --- #> Signif. codes: "**' 0.001 + 0.01 0.05.' 0.11 => Residual standard error: 0.591 on 196 degrees of freedom > Multiple R-squared: 0.147, Adjusted R-squared: 0.143 => F-statistio: 33.8 on : and 196 DF, p-value: 2.4e-08 ? Need Help Activate Windows Go to Settings to activate Windows Type here to search © 31°C Rain Va O 4 ENG 3:24 pm 15/4/2022 21
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