![]() ![]() On January 18, 2023, Commerce received a notice of intent to participate from Vallourec Star, L.P. Pursuant to section 751(c) of the Tariff Act of 1930, as amended (the Act). On January 3, 2023, Commerce published the notice of initiation of the sunset review of the On August 3, 1995, Commerce published the AD order on seamless pipe from Germany. End Further Info End Preamble Start Supplemental Information SUPPLEMENTARY INFORMATION: Department of Commerce, 1401 Constitution Avenue NW, Washington, DC 20230 telephone: (202) 482–1121. Weinhold, AD/CVD Operations, Office VI, Enforcement and Compliance, International Trade Administration, U.S. Start Further Info FOR FURTHER INFORMATION CONTACT: Department of Commerce (Commerce) finds that revocation of the antidumping duty (AD) order on certain small diameter seamless carbon and alloy standard, line, and pressure pipe (seamless pipe) from Germany would likely to lead to continuation or recurrence of dumping at the levels indicated in the “Final Results of Review” section of this notice. SUMMARY:Īs a result of this sunset review, the U.S. Provide legal notice to the public or judicial notice to the courts.Įnforcement and Compliance, International Trade Administration, Department of Commerce. Rendition of the daily Federal Register on does not Until the ACFR grants it official status, the XML Legal research should verify their results against an official edition of The official SGML-based PDF version on, those relying on it for The material on is accurately displayed, consistent with While every effort has been made to ensure that Regulatory information on with the objective ofĮstablishing the XML-based Federal Register as an ACFR-sanctioned The OFR/GPO partnership is committed to presenting accurate and reliable Register (ACFR) issues a regulation granting it official legal status.įor complete information about, and access to, our official publications Informational resource until the Administrative Committee of the Federal This prototype edition of theĭaily Federal Register on will remain an unofficial Each document posted on the site includes a link to theĬorresponding official PDF file on. The documents posted on this site are XML renditions of published Federal Register, and does not replace the official print version or the official It is not an official legal edition of the Federal For example, if you wanted to generate a line of best fit for the association between height and shoe size, allowing you to predict shoe size on the basis of a person's height, then height would be your independent variable and shoe size your dependent variable).This site displays a prototype of a “Web 2.0” version of the dailyįederal Register. To begin, you need to add paired data into the two text boxes immediately below (either one value per line or as a comma delimited list), with your independent variable in the X Values box and your dependent variable in the Y Values box. This calculator will determine the values of b and a for a set of data comprising two variables, and estimate the value of Y for any specified value of X. The line of best fit is described by the equation ŷ = bX + a, where b is the slope of the line and a is the intercept (i.e., the value of Y when X = 0). This simple linear regression calculator uses the least squares method to find the line of best fit for a set of paired data, allowing you to estimate the value of a dependent variable ( Y) from a given independent variable ( X). ![]()
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