There are many methods, though the most popular is the method of least squares. This method minimises the sum of the squares of the vertical distances between each point and the corresponding point on the line.
The slope of the trend line is the rate of change of the data. It is the ratio of the change of the dependent variable to the rate of change of the independent variable. Slope represents the value of the correlation.
Time series is a method of using past data to predict future values. It is based on the assumption that there is an undelying trend to the data. To predict future values, we use the concept of moving averages.
Scatter graphs are best. Line graphs are OK if the trend is linear but not much good if the trend is non-linear.
The disadvantages are that the calculations required are not simple and that the method assumes that the same linear relationship is applicable across the whole data range. And these are the disadvantages of the least squares method.
The line of a graph is quite often used to indicate the average of various data points that fall both above and below the line. Very jagged lines get smoothed out, but the trend is the same.
It can be a scatterplot, or grouped bar chart.It can be a scatterplot, or grouped bar chart.It can be a scatterplot, or grouped bar chart.It can be a scatterplot, or grouped bar chart.
The slope of the trend line is the rate of change of the data. It is the ratio of the change of the dependent variable to the rate of change of the independent variable. Slope represents the value of the correlation.
Jeremy surveyed students in his class about their spending habits in the school cafeteria. He used the data to create a scatterplot. How Students Spend Money in the Cafeteria Which is the equation of his trend line?
Scatterplot
analyze the data (apex)
A scatterplot.
analyze the data (apex)
A)
It is when you ate analyzing your data and drawing a conclusion
trend line
Time series is a method of using past data to predict future values. It is based on the assumption that there is an undelying trend to the data. To predict future values, we use the concept of moving averages.
This method is indispensable for the statistical analysis of experimental data, drawing calibration curves in analytical chemistry, etc.