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Showing 1 to 6 of 6 data sets matching mlr
Data Set/Description Owner Last edited Size Views
US Workforce Participation
This data primarily comes from two sources: Federal Reserve Bank of St. Louis and the US Bureau of Labor Statistics .
ColumnDescription
YearThe calendar year for each value
Annual Average Workforce ParticipationDefined by the Bureau of Labor Statistics as "the percentage of the population [16 years and older] that is either employed or unemployed (that is, either working or actively seeking work). Note that 2015's Annual Average is calculated using the first 11 months."
Male Workforce Participation RateAnnual workforce participation rate for males.
Female Workforce Participation RateAnnual workforce participation rate for females.
Male Inactivity Rate Aged 25-54Defined as the proportion of the male population aged 25-54 that is not in the labour force. Common reasons for leaving labour force: college, retirement, stay at home, can't find work and no longer try.
Change in Rate (Male Inactivity Rate Aged 25-54)The change in the inactivity rate calculated as the current year minus the previous year.
Female Inactivity Rate Aged 25-54Defined as the proportion of the female population aged 25-54 that is not in the labour force.
Change in Rate (Female Inactivity Rate Aged 25-54)The change in the inactivity rate calculated as the current year minus the previous year.
Presidential ControlPolitical party of president.
Senate ControlPolitical party of the Senate majority
House ControlPolitical party of the House of Representatives majority.
Legislative Branch (House and Senate)Combined control of Senate and House of Representativs
statcrunch_featuredJun 27, 201710KB3384
2014 MLB Top 100 Batters
This data came from ESPN.com and has the top 100 batters by WAR (wins above replacement). AB: At bats R: Runs H: Hits 2B: Doubles 3B: Triples RBI: Runs batted in SB: Stolen Bases BB: Walks SO: Strikeouts AVG: Batting average OBP: On Base Percentage SLG: Slugging Percentage OPS: OBP + SLG WAR: Wins Above Replacement
statcrunch_featuredApr 3, 20179KB4717
Bone 2-way unbalanced ANOVA with Ortho contrasts
The first 3 columns (Growth, Gender, Bone) can be used to demonstrate Unbalanced 2-way Anova. The same results can be obtained using MLR with Growth as Y var and last five columns (g1, b1, b2, g1*b1, g1*b2) as X vars. Run subsets and subtract the Model SS of each subset from Model SS with all 5 vars. This will match the Anova.
statcrunchhelpJun 25, 2015422B830
Bone 2-way unbalanced with Ortho contrasts
The first 3 columns (Growth, Gender, Bone) can be used to demonstrate Unbalanced 2-way Anova. The same results can be obtained using MLR with Growth as Y var and last five columns (g1, b1, b2, g1*b1, g1*b2) as X vars. Run subsets and subtract the Model SS of each subset from Model SS with all 5 vars. This will match the Anova.
mbarton73Apr 30, 2014422B210
Xena and Logan MLR DatarlpattNov 20, 201852KB19
Data Set #2 - Birthweights MLR48699993_ecollege_uarkssoNov 28, 20182KB21


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