yes
A scatter plot.A scatter plot.A scatter plot.A scatter plot.
A scatter plot.A scatter plot.A scatter plot.A scatter plot.
No, scatter plot gives a rough picture of the data. Line graph gives information on tabulated data
In a scatter plot that is an exponential model, data can appear to be growing in incremental rates. In this type of model the data will only cross the Y-axis at one point.
Mathematical information
It can do but does not have to.
discrete
A scatter plot.A scatter plot.A scatter plot.A scatter plot.
No. It uses continuous data. * * * * * Not true. It can use either discrete or continuous data.
Six Sigma
In statistical analysis, the value of sigma () can be determined by calculating the standard deviation of a set of data points. The standard deviation measures the dispersion or spread of the data around the mean. A smaller standard deviation indicates that the data points are closer to the mean, while a larger standard deviation indicates greater variability. Sigma is often used to represent the standard deviation in statistical formulas and calculations.
No, but quantitative data can.
A scatter plot.A scatter plot.A scatter plot.A scatter plot.
Data with two variables is commonly referred to as bivariate data. This type of data allows for the analysis of the relationship between the two variables, which can be represented through various statistical methods, including scatter plots and correlation coefficients. Bivariate analysis helps identify patterns, trends, and potential causal relationships between the variables.
a scatter plot is a piece of data that shows you how to make a prediction
No, scatter plot gives a rough picture of the data. Line graph gives information on tabulated data
No, a box plot is not the same as a scatter plot. A box plot, or box-and-whisker plot, visually summarizes the distribution of a dataset by displaying its median, quartiles, and potential outliers. In contrast, a scatter plot shows individual data points plotted on two axes to illustrate the relationship between two variables. Each serves different purposes in data visualization and analysis.