Sagot :
Okay first we need to find the line of best fit. We would need the slope and the y-intercept. First let's solve for slope.
[tex]Slope = \frac{y_2 - y_1}{x_2 - x_1} [/tex]
We would need two coordinates from the table to fill in the data. Let's use (0, 23) and (1, 20).
[tex](x_1, y_1) = (0, 23); (x_2, y_2) = (1, 20)[/tex]
Then we can solve for the y-intercept using the slope-intercept form: y = mx + b.
[tex]Slope = \frac{y_2 - y_1}{x_2 - x_1} [/tex]
We would need two coordinates from the table to fill in the data. Let's use (0, 23) and (1, 20).
[tex](x_1, y_1) = (0, 23); (x_2, y_2) = (1, 20)[/tex]
Then we can solve for the y-intercept using the slope-intercept form: y = mx + b.
Do you remember how to find the equation of a line when you know two points on the line ? Well, that little table gives you FIVE points on the line, and in case some students didn't notice that, the table even labels the columns 'x' and 'y' as a hint. With 5 points given, there are 20 different ways to find the equation of the line. Get to work.