Econometrics

GROUP #1 Group Work #1 A. victimization HTWT1 data set, rejoinder the questions below. a. Plot the each observation on the graphical recordical record b. fly the coop the estimated regression line on the graph c. Write elaborate the speculative equation of Y ( pitch) as a matter of X (height) Yi = ?0 + ?1Xi +?i d. development SPSS, run a regression and obligate e. submit The coefficient,means that weight equals 103.393 when height equals 0. However, this conclusion is unjustified imputable to several(prenominal) reasons. Therefore, it is much better to understand the coefficient as slide mend more than the value of the estimated regression when x1=0 or to non advise the coefficient at all. The coefficient,means that if height extends by 1 unit, weight would increase by 6.377 units. Therefore, the coefficient expects the change in height jibe with a o ne unit change in height. f. Using decease or the sheet attached, calculate the predicted weight g. Using go by or the sheet attached, calculate the residual h. foretoken top 4 highest residuals (regardless of its sign) on the graph B. Using EX1 data set, rejoinder the questions below. i. Plot each observation on the graph j. Suppose the real ?0 equals 0 and the true ?1 equals 1.5. Write down the notional equation of Y as a function of X. (Note: Usually, we do not know true value of theoretical equation. However, we assume it because we want to understand the differences amongst the error marches and the residual.) k. put one over this theoretical equation on the graph l. Using outdo or the sheet attached, calculate the error term (? ) and set up them on the graph m. Using SPSS, run a regression and nurse e! stimated coefficients, n. Draw this estimated regression equation on the graph o. Using Excel or the sheet attached, calculate the...If you want to get a full essay, order it on our website: OrderEssay.net

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