Table The difference in the values of the "dependent" variable is a fixed multiple of the difference between the corresponding values of the independent variable. And the value of the dependent variable is non-zero when the independent is zero.Graph A non-vertical straight line which does not pass through the origin.Equation y = mx + c (or equivalent) where m is some real number and c is non-zero.
It means that the two variables are likely dependent. The higher the number of the positive correlation the stronger the connection.
The probability increases.The probability increases.The probability increases.The probability increases.
The null hypothesis of the independent samples t-test is verbalized by either accepting or rejecting it due to the value of the t-test. If the value is less than 0.05 it is accepted and greater than 0.05 is rejecting it.
Yes a probability can be between 0 (meaning impossible) and 1 (meaning certain to happen).
Select 2 cards, do not put the 1st back in the deck. This is dependent probability. The outcome of drawing the 2nd card depends on the 1st card drawn. Select a card, look at it and put it back in the deck. Select a 2nd card. These are independent of each other. One does not change the probability for selecting the 2nd.
independent variable is the one you control. the dependent variable depends on the indepdendent variable (the results). on the graph independent in on the bottom and dependent is on the side
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Dependent variable is your data, independent variable is what you are testing. Ex. Sunlight would be the independent variable and a plants growth would be the dependent variable.
Independent- It doesn't rely on something. and it stays the same. Dependent- It relies on something. And it changes.
it has something to with mathematical graphs
In an experiment the independent is the stimulus, the thing controlled or applied by the experimenter. The dependent variable is the response, the reaction to the independent variable.
It is a real number between 0.5 and 1. Whether or not it is independent makes no difference to this answer.
An independent variable can be any of a given set of values while a dependent variable is represented as a function of another variable.
One is dependent and one is independent
a dependent variable is something that you cannot change but comes out as a result/an independent variable is something that you change in your experiment like the temperature of something or the amount of something
a dependent variable is something that you cannot change but comes out as a result/an independent variable is something that you change in your experiment like the temperature of something or the amount of something