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36 and 64
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∙ 10y ago
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What are two squares with the sum of 100?
How about: 36+64 = 100
What is the difference between the sum of the squares of the first one hundred natural numbers and the square of the sum?
The sum of the squares of the first 100 natural numbers [1..100] is 338350, while the sum of the first 100 natural numbers squared is 25502500.
What is a squares with the sum of 100?
62 + 82 = 36 + 64 = 100
What are two perfect squares that have the sum of 100?
64 and 36.
F the sum of the squares of six and eight?
It is: 62+82 = 100
What is the sum of all positive integers less than 100 that are squares of perfect squares?
The only squares of perfect squares in that range are 1, 16, and 81.
What is the sum of the squares of all Odd numbers between 100 and 200?
1166650
What are two squares with a sum of 100?
36 and 64
How do you solve the sum of squares?
If a question says solve the sum of the squares of 3 and 10, you would multiply 3 by 3 to get 9 and 10 by 10 to get 100, and add the two numbers to get 109. 32 + 102 = 9 + 100 = 109
The sum of two positive numbers is 4 and the sum fo their cubes is 28 What is the sum of their squares?
The sum of their squares is 10.
If the regression sum of squares is large relative to the error sum of squares is the regression equation useful for making predictions?
If the regression sum of squares is the explained sum of squares. That is, the sum of squares generated by the regression line. Then you would want the regression sum of squares to be as big as possible since, then the regression line would explain the dispersion of the data well. Alternatively, use the R^2 ratio, which is the ratio of the explained sum of squares to the total sum of squares. (which ranges from 0 to 1) and hence a large number (0.9) would be preferred to (0.2).
Why is the residual sum of squares bigger then total sum of squares when there isn't a constant?
There is a calculation error.
