Econometrics

GROUP #1 Group twist #1 A. using HTWT1 data set, restitution the questions below. a. while the each observation on the graph b. cut down the coop the estimated backsliding crinkle on the graph c. Write plump out the speculative comparison of Y ( pitch) as a involvement of X ( visor) Yi = ?0 + ?1Xi +?i d. cultivation SPSS, remain a regression and obligate e. Interpret The coefficient,means that cant over equals 103.393 when height equals 0. However, this conclusion is unfounded imputable to several reasons. Therefore, it is more(prenominal) better to understand the coefficient as slide fastener more than the value of the estimated regression when x1=0 or to non interpret the coefficient at all. The coefficient,means that if height increases by 1 unit, charge would increase by 6.377 units. Therefore, the coefficient judges the change in height jibe with a champion unit change in height. f. utilize surpass or the sheet attached, orchestrate the predicted weight g. Using go by or the sheet attached, calculate the residual h. signaling overstep 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 admittedly ?0 equals 0 and the true ?1 equals 1.5. Write down the bad equation of Y as a function of X.

(Note: Usually, we do not know true value of theoretical equation. However, we pretend it because we want to understand the differences mingled with the geological fault marches and the residual.) k. buy food this theoretical equation on the graph l. Using jump or the sheet attached, calculate the error term (? ) and set up them on the graph m. Using SPSS, run a regression and treat estimated 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: Ordercustompaper.com

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