If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can use R-style formulas. First, you need to import statsmodels and its ...

When using the Office JavaScript API to update rows in an Excel.Table, the performance should be consistent with previous versions. Specifically, updating 1,500 random rows (10% of a 15,000-row table) ...

If you use Excel 40 hours a week (and those are the weeks you are on vacation), welcome to the MrExcel channel. Home to 2,400 free Excel tutorials. Bill "MrExcel" Jelen is the author of 67 books about ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Aromatic amines are used widely in industry as chemical ...

Multiple sclerosis (MS) has long been regarded as a disease with different subtypes such as “relapsing” or “progressive.” An international study, published on August 20, 2025, in Nature Medicine under ...

Children with multiple long-term health issues undergo severe emotional stress at the same time as they are trying to cope with the physical challenges of their condition, a study has found. Research ...

Minimal residual disease (MRD) negativity (neg) in patients (pts) with relapsed or refractory multiple myeloma (RRMM) treated with belantamab mafodotin plus pomalidomide and dexamethasone (BPd) vs ...

Abstract: Forecasting of load is an important factor for power system operation and planning. As the electricity consumption increases, load forecasting methods become more complicated. Depending on ...

A regression was introduced in #936 which causes Excel to display an additional empty window which cannot be closed without Excel also closing. In the log snippet below the offending window handle is ...

ABSTRACT: The purpose of the current study was to assess the factors contributing to persistence of food insecurity in Gairo district. The study adopted cross sectional research design with which the ...

The majority of research predicted heating demand using linear regression models, but they did not give current building features enough context. Model problems such as Multicollinearity need to be ...