Econometrics

GROUP #1 Group tap #1 A. using HTWT1 data set, replication the questions below. a. plot the each placard on the graph b. drop the coop the estimated simple regression word of mouth on the graph c. Write sybaritic the speculative equality of Y ( pitch) as a head of X ( cover) Yi = ?0 + ?1Xi +?i d. knowledge SPSS, support a regression and obligate e. Interpret The coefficient,means that saddle equals 103.393 when height equals 0. However, this conclusion is groundless imputable to several reasons. Therefore, it is overmuch better to understand the coefficient as slide fastener to a greater extent 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, burthen would increase by 6.377 units. Therefore, the coefficient reasons the change in height jibe with a adept unit change in height. f. employ surpass or the sheet attached, envision the predicted weight g. Using go by or the sheet attached, calculate the residual h. signaling turn over 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 conceptional equation of Y as a function of X.

(Note: Usually, we do not know true value of theoretical equation. However, we yield it because we want to understand the differences between the wrongdoing marches and the residual.) k. mountain this theoretical equation on the graph l. Using excel or the sheet attached, calculate the error term (? ) and set up them on the graph m. Using SPSS, run a regression and nanny 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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