A line of best fit describes the overall straight trend in a scatterplot, not a rule every dot must follow. Read the direction first, then enter all the plotted pairs in a Desmos table and run a linear regression. Match the fitted slope and intercept to the choices. An unusually low dot can shift the fit, but it shouldn't define the whole trend.
Hints
- Hint 1
A positive association means the dots tend to rise as increases. Look at the main group rather than judging by the low dot at . Should the fitted line rise or fall from left to right?
- Hint 2
A regression fits a line to paired observations. Put each dot's horizontal coordinate in and its vertical coordinate in . There are two observations at , so keep both rows.
- Hint 3
In , the slope tells you how much changes per unit of . The intercept is the predicted at . Match both fitted values to a choice.
Step-by-step
Fit all the plotted points
Step 1Read the overall direction
Most dots rise from left to right, so the fitted line needs a positive slope. The dot at is an outlier, a point far below the main pattern. It doesn't turn the overall trend downward.
- Step 2
Keep every plotted pair
Enter the dots in a Desmos table, with in and in . The table shows two separate rows for and . Keep both: the lower dot is still part of the data.
- Step 3
Find the fitted slope and intercept
Below the table, type . The tells Desmos to run a linear regression: it chooses a line for all the points, rather than forcing the line through one dot. Under PARAMETERS, Desmos reports for the slope and for the predicted at .
- Step 4
Match both parts of the line
In , the fitted slope is closest to , and the fitted intercept is closest to . The estimates needn't equal the whole-number coefficients exactly because the dots don't all lie on one line. So is the best choice for the scatterplot. Fit the whole pattern, not one dot. Choice A.