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  2. Here’s the retirement savings that put you with the richest ...

    www.aol.com/finance/retirement-savings-put...

    The top 10% richest American households had an average of $8.1 million in all assets put together, which may include real estate, cash value life insurance, savings bonds etc.

  3. Coupon (finance) - Wikipedia

    en.wikipedia.org/wiki/Coupon_(finance)

    In finance, a coupon is the interest payment received by a bondholder from the date of issuance until the date of maturity of a bond. Coupons are normally described in terms of the "coupon rate", which is calculated by adding the sum of coupons paid per year and dividing it by the bond's face value. For example, if a bond has a face value of ...

  4. Bangalore - Wikipedia

    en.wikipedia.org/wiki/Bangalore

    Bangalore is a megacity with a population of 8,443,675 in the city and 10,456,000 in the urban agglomeration, [6] [5] up from 8.5 million at the 2011 census. [116] It is the third most populous city in India, the 18th most populous city in the world and the fifth most populous urban agglomeration in India. [11] [117] With a growth rate of 38% ...

  5. The 10% Solution for a Healthy Life - Wikipedia

    en.wikipedia.org/wiki/The_10%_Solution_for_a...

    The 10% Solution for a Healthy Life (ISBN 0-517-88301-5, paperback, 1993) is a health book written by computer scientist Ray Kurzweil and published in 1993. In the book, he explains to readers "How to Reduce Fat in Your Diet and Eliminate Virtually All Risk of Heart Disease and Cancer".

  6. Boeing 787 Dreamliner - Wikipedia

    en.wikipedia.org/wiki/Boeing_787_Dreamliner

    The Boeing 787 Dreamliner is a long-haul, widebody, twin-engine jetliner, designed with lightweight structures that are 80% composite by volume; Boeing lists its materials by weight as 50% composite, 20% aluminum, 15% titanium, 10% steel, and 5% other materials.

  7. Coefficient of determination - Wikipedia

    en.wikipedia.org/wiki/Coefficient_of_determination

    The sum of squares of residuals, also called the residual sum of squares: The total sum of squares (proportional to the variance of the data): The most general definition of the coefficient of determination is. In the best case, the modeled values exactly match the observed values, which results in and R2 = 1.

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