q is the amount of heat.. that formula is used in finding heat problems
used for internal consistency or error estimation
n / d = q n = numerator d = denominator q = quotient (or answer) It's probably better to think of a fraction as a form rather than a formula.
Energy (J) = Power x time Q = P x t
P = 4*a (a is side length) Area = p*q/2 (p=perimeter, q=diagonal
1. For each pair of variables, calculate the q-correlation, using the formula: , where 1. For each pair of variables, calculate the q-correlation, using the formula: , where = number of data points in the upper-right quadrant = number of data points in the lower-left quadrant = number of data points in the lower-right quadrant = number of data points in the upper-left quadrant n = n1 + n2 + n3 + n4
"http://wiki.answers.com/Q/Use_of_correlation_and_regression_in_business"
ρx,y=cov(x,y)/sqrt[Var(x)*Var(y)]
q is the amount of heat.. that formula is used in finding heat problems
The formula for the average product of labor (or capital) is simply output, Q, divided by the number of workers (or units of capital), L (K). Simply, APL = Q/L APK = Q/K
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Spearman's rank correlation coefficient is given in the related link at the bottom of this page.
used for internal consistency or error estimation
n / d = q n = numerator d = denominator q = quotient (or answer) It's probably better to think of a fraction as a form rather than a formula.
A correlation coefficient is a statistic that measures the strength and direction of a relationship between two variables. It ranges from -1 to 1, with 1 indicating a perfect positive relationship, -1 indicating a perfect negative relationship, and 0 indicating no relationship between the variables.
Suppose the scatter plot is of a variable X on the horizontal scale and Y on the vertical scale.Find the approximate middle of the x values and call it p.Find the approximate middle of the y values and call it q.Draw horizontal and vertical lines through the point with coordinates (p, q).If you know about quadrants, skip this paragraph. The two lines through the point (p,q) divide up the plane into 4 quadrants. Quadrant I is top right. Quadrant II is top left. Quadrant III is bottom left. Quadrant IV is bottom right.If the scatter plot is mostly in quadrants I and III the correlation is positive. If mostly in quadrants II and IV the correlation is negative. Otherwise the correlation is small.Remember, though, that 0 correlation does not mean no relation. y = x2 will have 0 correlation but it is a perfectly well defined relationship!Suppose the scatter plot is of a variable X on the horizontal scale and Y on the vertical scale.Find the approximate middle of the x values and call it p.Find the approximate middle of the y values and call it q.Draw horizontal and vertical lines through the point with coordinates (p, q).If you know about quadrants, skip this paragraph. The two lines through the point (p,q) divide up the plane into 4 quadrants. Quadrant I is top right. Quadrant II is top left. Quadrant III is bottom left. Quadrant IV is bottom right.If the scatter plot is mostly in quadrants I and III the correlation is positive. If mostly in quadrants II and IV the correlation is negative. Otherwise the correlation is small.Remember, though, that 0 correlation does not mean no relation. y = x2 will have 0 correlation but it is a perfectly well defined relationship!Suppose the scatter plot is of a variable X on the horizontal scale and Y on the vertical scale.Find the approximate middle of the x values and call it p.Find the approximate middle of the y values and call it q.Draw horizontal and vertical lines through the point with coordinates (p, q).If you know about quadrants, skip this paragraph. The two lines through the point (p,q) divide up the plane into 4 quadrants. Quadrant I is top right. Quadrant II is top left. Quadrant III is bottom left. Quadrant IV is bottom right.If the scatter plot is mostly in quadrants I and III the correlation is positive. If mostly in quadrants II and IV the correlation is negative. Otherwise the correlation is small.Remember, though, that 0 correlation does not mean no relation. y = x2 will have 0 correlation but it is a perfectly well defined relationship!Suppose the scatter plot is of a variable X on the horizontal scale and Y on the vertical scale.Find the approximate middle of the x values and call it p.Find the approximate middle of the y values and call it q.Draw horizontal and vertical lines through the point with coordinates (p, q).If you know about quadrants, skip this paragraph. The two lines through the point (p,q) divide up the plane into 4 quadrants. Quadrant I is top right. Quadrant II is top left. Quadrant III is bottom left. Quadrant IV is bottom right.If the scatter plot is mostly in quadrants I and III the correlation is positive. If mostly in quadrants II and IV the correlation is negative. Otherwise the correlation is small.Remember, though, that 0 correlation does not mean no relation. y = x2 will have 0 correlation but it is a perfectly well defined relationship!
The main use of a Faraday is in the formula Q=nF. If this is rearranged, F=Q/n A Faraday is 96485 coulombs.