Answer:
Explanation:
A trend line, also known as a line of best fit or regression line, is a straight or curved line that represents the general direction or pattern of a set of data points in a scatter plot or graph.
Trendlines are commonly used to identify patterns, make predictions, and understand the overall behavior of a dataset, and provide a visual representation of the underlying trend in the data.
The independent variable of a scatter plot is always drawn along the horizontal axis. The dependent variable of a scatter plot is always drawn along the vertical axis.
The trend line in the given scatter plot is a straight line with a negative slope. It shows the relationship between the variables M and N.
The trend line crosses the y-axis at (0, 110) and crosses the x-axis at (55, 0).
To find the slope of the trend line, substitute the two points on the line into the slope formula:
Substitute the found slope, m = -2, and the y-intercept, b = 110, into the slope-intercept formula, y = mx + b:
As variable M is the independent variable, substitute x = M.
As variable N is the dependent variable, substitute y = N.
Therefore, the equation of the given trend line is: