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ACS Sample Industries

Question # 00011431
Subject: Statistics
Due on: 04/03/2014
Posted On: 04/03/2014 04:53 AM

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i. Describe each regression in words and as an equation. Describehow you created your “new” variable
ii. Describe what the coefficient on the business degree indicatorvariable means in regression A versus regressions C and D.
iii. Interpret all of the other coefficients in Regression C.
iv. Compare the adjusted R2 between Regressions A, B, C and D andinterpret the comparison.

a. A critic of business education argues that the wage premium associatedwith business education is explained entirely by the fact that people withbusiness degrees work longer hours. Use the regression results to providean argument for or against this premise.
b. Are business degrees the only types of degrees that earn a premium inthis industry? Which degree fields are associated with the highest wages?
Which degree fields are associated with the lowest wages? What explainsthis pattern?
c. Describe the limitations of your analysis, as well as what additionalinformation would be useful to collect and study in the future. If youcould add one or two variables to your analysis, what would they be andwhy?

Tags industries sample busine regreion degrees degree aociated premium fields education wages analysis regreions industry inthis types results providean argument premise earn lowest future study youcould variables andwhy collect useful explainsthis hours pattern

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Tutorial Preview …in xxxxxxxxxx A xx 11373 21, xx means that xxx individual xxxx x business xxxxxx can have x wage income xxxxx 21 xxxx xxxx the xxxxxx without a xxxxxxxx degree The xxxxxxxxxxx on xxx xxxxxxxx degree xxxxxxxxx variable in xxxxxxxxxx C is xxxx 37, xx xxxxx that xxx individual with x business degree xxx have x xxxx income xxxx 37 more xxxx the person xxxxxxx…
Paper_-_ACS_Sample_Industries.docx (42.31 KB)
Preview: Are xxxxxxxx degrees xxx only types xx degrees that xxxx a xxxxxxx xx this xxxxxxxxx No, the xxxxx types of xxxxxxx Social xxxxxxxx xxxxx Liberal xxxx and others xxxx there, which xxx earn x xxxxxxx in xxxx industry Which xxxxxx fields are xxxxxxxxxx with xxx xxxxxxx wages? xxx business degree xxxxxx are associated xxxx the xxxxxxx xxxxx Which xxxxxx fields are xxxxxxxxxx with the xxxxxx wages? xxx xxxxx degree xxxxxx are associated xxxx the lowest xxxxx What xxxxxxxx xxxx pattern?The xxxxxxxxxx DB explains xxxx pattern The xxxxxxxxxx coefficients xxx xxxxx degree xxxxxx Indicator Business, xxxxxxxxx Social Sciences xxxxx Liberal xxxxx xxx Indicator xxxxxx 16544 85, xxxxx 17, and xxxx 99 xxxxxxx xxxx pattern x Describe the xxxxxxxxxxx of your xxxxxxxxx as xxxx xx what xxxxxxxxxx information would xx useful to xxxxxxx and xxxxx xx the xxxxxx If you xxxxx add one xx two xxxxxxxxx xx your xxxxxxxxx what would xxxx be and xxxxxx all xxxxx xxxxxxxxxx models xxxx are fitted, xxx information on xxx variable xxxxxxxxxxx xx current xxxxxxxxxxxxx was fixed xx real estate xx these xxxxxxxxxx xxxxxx were xxxxxxx to only xxx field of xxxx estate, xxx xxxxxx to xxxxxxx the individuals xxxx business degrees xxx other xxxxxxx xx general xxxx.....
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