What does a residual value of –4.5 mean in reference to the line of best fit? the data point is 4.5 units above the line of best fit. the data point is 4.5 units below the line of best fit. the line of best fit is not appropriate to the data. the line of best fit has a slope of –4.5.

The data point is 4.5 units below the line of best fit

Step-by-step explanation:

Given residual value : -4.5

We know that a residual is the difference between the actual y-value and the expected y-value .

If the residual value 'r' is negative it implies that the data point is r units below the line of best fit.

Therefore, a residual value of –4.5 means in reference to the line of best fit that the  data point is 4.5 units below the line of best fit.

if you are saying purchasing 3 social media ads and one newspaper ad counts as one purchase then there are:

6 purchases

if you are asking how many of each then:

18 social media ads

6 newspaper ads