In English units, the distance I drive is 45 times as much as
the length of time I spend on the road.
Dmiles = 45 Thours
A scatter plot is a way of representing the values of two variables for a number of entities. Each entity is represents a point on the plot. Each of the two variables is measured along one of the two axes.
The answer depends on how many variables you wish to compare and whether of not the variables are related. For example, if you have measurements of height and weight for a group of people, AND the two variables are tied, then a scatter graph is probably best. But if you cannot tie a height measurement to a weight measurement, then a clustered (or grouped) bar graph using two vertical axes is appropriate. With more than 2 variables, you may wish to consider three-dimensional scatter plots or bar charts. If you want to compare the amounts, as parts of a whole, concentric pie charts many be best. For example, two pies in which the inner pie represents a company's expenditure - with each slice representing inputs - and the outer pie representing revenues - with each slice representing outputs. The difference between the areas of the two pies could represent the profits.
advantages: its easier to figure out or look at exact numbers disadvantages: its harder to see the change between intervals
The advantage is being given a straight answer, but in a graph it doesn't give you a straight answer, because there is a possibility of data being in between the plotted points.
The answer requires the relevant context to be given.
A scatter plot is a way of representing the values of two variables for a number of entities. Each entity is represents a point on the plot. Each of the two variables is measured along one of the two axes.
We would need to have the list of correlation coefficients to respond to this question.
an equation
Member variables.
A bar graph is an alternative term for a bar chart, a graph in the form of boxes of different heights, with each box representing a different value or category of data, and the heights representing frequencies.
The answer depends on the variables in the graph! In a graph of age against mass there is nothing that represents acceleration.
+1.00
A correlation coefficient represents the strength and direction of the relationship between two variables. It measures how closely the two variables are related to each other.
A variable is a number that isn't fixed, it can be anything. So in this situation x and y are the variables.
A situation-relevant confounding variable is a third variable that is related to both the independent and dependent variables being studied, which can lead to a spurious relationship between them. It is crucial to identify and control for situation-relevant confounding variables in research to ensure that the true relationship between the variables of interest is accurately captured.
Dependent variables and independent variables refer to values that change in relationship to each other. The dependent variables are those that are observed to change in response to the independent variables. The independent variables are those that are deliberately manipulated to invoke a change in the dependent variables. In short, "if x is given, then y occurs", where x represents the independent variables and y represents the dependent variables. Depending on the context, independent variables are also known as predictor variables, regressors, controlled variables, manipulated variables, explanatory variables, or input variables. The dependent variable is also known as the response variable, the regressand, the measured variable, the responding variable, the explained variable, the outcome variable, the experimental variable or the output variable. This answer was coppied onto this page by tom hills of falmouth waii
True. That's a way of representing the solution.