The frictional force that opposes the motion of an object on an inclined plane is given by the formula:
Ffriction = (mu)N,
where mu (the Greek letter mu) is the coefficient of friction, and N is the Normal force, which is the force equal and opposite to the component of the object's weight perpendicular to the surface of the incline.
The Normal force will be equal to Wcos(theta), where W is the weight of the object (W= mg) and theta is the angle of the incline.
When motion down the plane is impending (that is, a split second before the friction is overcome and the object starts to slide down the plane), Ffriction is equal and opposite to the component of the weight parallel to the surface of the plane. That component is equal to Wsin(theta).
So, what does that give us?
We know that
(1) Ffriction = Wsin(theta)
(2) Ffriction = (mu)N
(3) N = Wcos(theta)
Substituting for N in equation (2) gives us
Ffriction = (mu)Wcos(theta).
Equating equ. (1) and (2) gives us
muWcos(theta) = Wsin(theta).
Solving for mu gives us
mu = sin(theta)/cos(theta)
mu = tan(theta)
theta = tan-1(mu) or theta = arctan(mu)
So, the arctangent of mu is the angle of incline.
(I guess I coulda just said that right from the beginning.)
I have no clue.
I assume you mean static and kinetic friction. Static friction tends to be stronger and less predictable. For example, if you start applying more and more force to a stationary brick lying on sandpaper, it is almost impossible to predict when it will begin to move. Once it is moving, however, you can get a pretty consistent estimate for how much drag the brick is experiencing (kinetic friction). Modern cars have computers monitoring the brakes. If you slam on your brakes, the computer will loosen up the brakes to prevent you from skidding. This is because static friction is more effective than kinetic friction, and once you start skidding out you have lost most of your braking power.
The word predict is a verb.
gravity is acting on it, one can never throw the ball fast enough, ideally the ball will never land and the air friction slows down the ball
Transformed divergence is the calculation of a distance between two signatures. This calculation is typically used to predict the results of a classification.
Geologists collect data on friction along the side of faults so that they can predict how much pressure is applied on the faults so they can predict how strong the earthquake is.
friction
The coefficient of determination, is when someone tries to predict the outcome of the testing of a hypothesis, or their guess at to what will happen. It helps determine how well outcomes are determined beforehand.
So that geologist can predict how much force of pressure applied on the faults to predict how strong the earthquake.
Correlation coefficient
Correlation coefficient My understanding is: two variables as they relate to one another and how accurately you can predict their behavior to one another when together. Basically the strength of the linear association between two variables. When the variables have a tendency to go up and down together, this is a positive correlation coefficient. Variables with a tendency to go up and down in opposition, (one ends up with a high value and the other a low value) this is negatiove correlation coefficient. An example would be the amount of weight a mom gains during pregnancy and the birth weight of the baby
I have no clue.
Correlation analysis is a type of statistical analysis used to measure the strength of the relationship between two variables. It is used to determine whether there is a cause-and-effect relationship between two variables or if one of the variables is simply related to the other. It is usually expressed as a correlation coefficient a number between -1 and 1. A positive correlation coefficient means that the variables move in the same direction while a negative correlation coefficient means they move in opposite directions.Regression analysis is a type of statistical analysis used to predict the value of one variable based on the value of another. This type of analysis is used to determine the relationship between two or more variables and to determine the direction strength and form of the relationship. Regression analysis is useful for predicting future values of the dependent variable given a set of independent variables.Correlation Analysis is used to measure the strength of the relationship between two variables.Regression Analysis is used to predict the value of one variable based on the value of another.
Guessing involves making a random or estimated assumption without much evidence or reasoning, while predicting involves using available information and data to make an informed forecast or projection about a future event or outcome. Guessing is more based on intuition or luck, whereas predicting is grounded in analysis and reasoning.
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.
I assume you mean static and kinetic friction. Static friction tends to be stronger and less predictable. For example, if you start applying more and more force to a stationary brick lying on sandpaper, it is almost impossible to predict when it will begin to move. Once it is moving, however, you can get a pretty consistent estimate for how much drag the brick is experiencing (kinetic friction). Modern cars have computers monitoring the brakes. If you slam on your brakes, the computer will loosen up the brakes to prevent you from skidding. This is because static friction is more effective than kinetic friction, and once you start skidding out you have lost most of your braking power.
one could argue this, but in retrospect, did they predict the end of the world? no. you answer is one that can be found if you read between the lines