The point lies directly on the regression line.
Freezing pt is zero. boiling pt is 100
Yes. So long as the function has a value at the points in question, the function is considered defined.
If the car has an average speed of 65 mph, when it returns to its starting point, it will have a displacement of zero and an average velocity of zero, because velocity has both speed and direction.
Normally, all the glucose is reabsorbed
It means the object you Are measuring is balanced
Variance is standard deviation squared. If standard deviation can be zero then the variance can obviously be zero because zero squared is still zero. The standard deviation is equal to the sum of the squares of each data point in your data set minus the mean, all that over n. The idea is that if all of your data points are the same then the mean will be the same as every data point. If the mean is the equal to every data point then the square of each point minus the mean would be zero. All of the squared values added up would still be zero. And zero divided by n is still zero. In this case the standard deviation would be zero. Short story short: if all of the points in a data set are equal than the variance will be zero. Yes the variance can be zero.
If it's a member of the data set, then it's a data point. If you decide to ignore it as if it was never there, then you're altering the characteristics of the data, and no analysis you do will reflect the true data.
It is always zero.
It is zero.
zero
Arbitrary zero us a zero point which is set or convenience. It DOES NOT mean absence of the variable.
starting point
i cant get it clearly
Residual voltage is the vector sum of all three phase voltages. Ideally this will be zero.
A Zero Reading can mean a multitude of things depending on the context. In a velocity reading a Zero Reading would indicate no overall movement. Example, if a runner ran from point A to point B continuously this would be a Zero velocity Reading.
ZeroDetails:The "Standard Deviation" for ungrouped data can be calculated in the following steps:all the deviations (differences) from the arithmetic mean of the set of numbers are squared;the arithmetic mean of these squares is then calculated;the square root of the mean is the standard deviationAccordingly,The arithmetic mean of set of data of equal values is the value.All the deviations will be zero and their squares will be zerosThe mean of squares is zeroThe square root of zero is zero which equals the standard deion
This means there is absolutely no mistake in the data given.