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What kind of garph is most useful for showing the relationship between two numerical variables?
A line graph is the most useful type of graph for showing the relationship between two numerical variables. A bar graph can also be used since these two types of graphs are straightforward and simple.
What is the Advantages of scatter diagram?
It allows a quick look at the data to establish whether or not there is any relationship between the variables and also an indication of the nature of the relationship: linear, quadratic, power etc.
What does no trend mean?
Usually the expression is employed in the context of the relationship between a dependent variable and another variable. The latter may or may not be independent: often it is time but that is not necessary. In some cases there is some indication that that there is a linear relationship between the two variables and that relationship is referred to as a trend.Note that a trend is not the same as causation. There may appear to be a strong linear trend between two variables but the variables may not be directly related at all: they may both be related to a third variable. Also, the absence of linear trends does not imply that the variables are unrelated: there may be non-linear relationships.
State the function and purpose of scatter diagram?
To give a quick visual impression of the relationship between two variables. Also to allow outliers to be spotted easily.
What is a inderpendent variable?
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
What is the casual-comparative research method?
Casual-comparative research method is a type of research design that involves examining the relationship between variables without manipulating them. It aims to determine if there is a cause-and-effect relationship between the variables being studied. This method is also known as quasi-experimental research.
What kind of relationship exists between the variables if your r value is close to plus 1?
When r is close to +1 the variables have a positive correlation between them; as the x-values increase, the corresponding y-values increase. There is also a strong linear correlation or relationship between the variables, when the value of r is close to +1.
What is the difference between a manipulated and responding variable?
Manipulated variables are also known as independent variables. These are the variable which you change in an investigation. Plotted on the x axis.
What kind of garph is most useful for showing the relationship between two numerical variables?
A line graph is the most useful type of graph for showing the relationship between two numerical variables. A bar graph can also be used since these two types of graphs are straightforward and simple.
What does ''highly correlated'' mean?
Correlation is defined as the degree of relationship between two or more variables. It is also called the simple correlation. The degree of relationship between two or more variables is called multi correlation. when two or more variables are said to be higjly correlated it means that they have a strong relationship such that a given rise or fall in one variable will lead to a direct change in the other variable or variables. good examples of highly correlated variables are price and quantity, wage rate and out put, tax and income.
What 2 things does a formula tell you?
A formula tells you the relationship between different variables and how they interact with each other. It also helps you calculate or predict specific outcomes based on the given variables.
What is the Advantages of scatter diagram?
It allows a quick look at the data to establish whether or not there is any relationship between the variables and also an indication of the nature of the relationship: linear, quadratic, power etc.
What does no trend mean?
Usually the expression is employed in the context of the relationship between a dependent variable and another variable. The latter may or may not be independent: often it is time but that is not necessary. In some cases there is some indication that that there is a linear relationship between the two variables and that relationship is referred to as a trend.Note that a trend is not the same as causation. There may appear to be a strong linear trend between two variables but the variables may not be directly related at all: they may both be related to a third variable. Also, the absence of linear trends does not imply that the variables are unrelated: there may be non-linear relationships.
What does a line of best fit tell you about data on scatterplot?
It tells you that if there were a linear relationship between the two variables, what that relationship would look like and also how much the observations differed from that linear fit.
What is contestshipping?
contestshipping is relationship between drew and may on Pokemon also known as DAML
When would you use simple linear regression?
You use it when the relationship between the two variables of interest is linear. That is, if a constant change in one variable is expected to be accompanied by a constant [possibly different from the first variable] change in the other variable. Note that I used the phrase "accompanied by" rather than "caused by" or "results in". There is no need for a causal relationship between the variables. A simple linear regression may also be used after the original data have been transformed in such a way that the relationship between the transformed variables is linear.
State the function and purpose of scatter diagram?
To give a quick visual impression of the relationship between two variables. Also to allow outliers to be spotted easily.
