This time we are looking on the crossword clue for: Fertile soil.
it’s A 12 letters crossword puzzle definition. See the possibilities below.
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Possible Answers: LOAM, LOESS, MARL.
Last seen on: –Mirror Classic Crossword December 31 2022
–NY Times Crossword 31 Jan 22, Monday
–NY Times Crossword 26 May 20, Tuesday
–The Washington Post Crossword – Mar 4 2020
–LA Times Crossword 4 Mar 20, Wednesday
–Wall Street Journal Crossword – August 17 2019 – Stormy Weather
–New York Times Crossword – Mar 5 2019
Random information on the term “LOAM”:
The Louisiana and Arkansas Railway (reporting mark LA) was a railroad that operated in the states of Arkansas, Louisiana, and Texas. The railroad’s main line extended 332 miles, from Hope, Arkansas to Shreveport and New Orleans. Branch lines served Vidalia, Louisiana (opposite Natchez, Mississippi), and Dallas, Texas.
The Louisiana and Arkansas Railroad was incorporated in Arkansas in 1898 for the purpose of acquiring former logging railroad properties in Arkansas and Louisiana. The railroad was constructed and initially operated under the leadership of William Buchanan, a prosperous timberman with extensive investments in southwest Arkansas and northwest Louisiana. Buchanan’s partners were Harvey C. Couch and William Edenborn. Buchanan’s primary company, Bodcaw Lumber Company, was headquartered in Stamps, Arkansas, and that city also served as headquarters of the L&A until the late 1920s. It was reorganized in 1902 as the Louisiana and Arkansas Railway.
In 1910, the L&A Railway and Arkansas Southern Railroad were involved in a dispute over Louisiana taxes, a notable court case which ultimately was heard by the U.S. Supreme Court.
Random information on the term “LOESS”:
In statistics, linear regression is an approach for modeling the relationship between a scalar dependent variable y and one or more explanatory variables (or independent variables) denoted X. The case of one explanatory variable is called simple linear regression. For more than one explanatory variable, the process is called multiple linear regression. (This term is distinct from multivariate linear regression, where multiple correlated dependent variables are predicted, rather than a single scalar variable.)
In linear regression, the relationships are modeled using linear predictor functions whose unknown model parameters are estimated from the data. Such models are called linear models. Most commonly, the conditional mean of y given the value of X is assumed to be an affine function of X; less commonly, the median or some other quantile of the conditional distribution of y given X is expressed as a linear function of X. Like all forms of regression analysis, linear regression focuses on the conditional probability distribution of y given X, rather than on the joint probability distribution of y and X, which is the domain of multivariate analysis.