The line of best fit is y = 1.383x - 1.526 after calculating using the table, and option (c) y = 1.383x - 1.526 is correct.
What is the line of best fit?
A mathematical notion called the line of the best fit connects points spread throughout a graph. It's a type of linear regression that uses scatter data to figure out the best way to define the dots' relationship.
[tex]\rm m = \dfrac{n\sum xy-\sum x \sum y}{n\sum x^2 - (\sum x)^2} \\\\\\\rm c = \dfrac{\sum y -m \sum x}{n}[/tex]
As we know, the regression line is a graph that illustrates the pattern of a group of statistics. In other words, it shows the data's best pattern.
We have data shown in the table:
We can find the line of best fit by the formula.
Let y = mx + c
m is the slope of the line of best fit and the y-intercept is c.
After calculating:
m = 1.383
c = -1.526
y = 1.383x - 1.526
Thus, the line of best fit is y = 1.383x - 1.526 after calculating using the table, and option (c) y = 1.383x - 1.526 is correct.
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