R2 refers to the fraction of variance. it is the square of the correlation coefficient between two dependent variables. It is a statistical term that tells us how good one variable is at predicting another. If R2 is 1.0, then given the value of one variable you can perfectly predict the value of the other variable. If R2 is 0.0, then knowing either variable does not help you predict the other variable. In turn, the higher the R2 value the more correlation there is between the two variables.
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What is the shape, a rectangle, square, or circle. If it is a rectangle, you need at least the value of length or width. If it is a square then the perimeter is 4 x (square root of 850) = 4 x 29.15 = 116.6 feet If it is a circle, then (pi x r x r) = 850 That is 3.1415 x r x r = 850 r squared is 850/3.1415 = 270.57 Hence r is 16.45 Now the perimeter (or circumference) is pi x 2 x r = 3.1415 x 2 x 16.45 = 103.35 ft So it is important to know the shape of the area.
R+14=39
1.495348781
The expression "12 minus r" represents the subtraction of the variable "r" from the constant 12. This operation can be simplified as 12 - r. The result is a difference, where the value of "r" is subtracted from 12.
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