Step-by-step explanation:

Answer:
A linear model (is/is not) the best fit for the data because the residual plot (shows no pattern/shows a pattern) and is (scattered/not scattered).
Step-by-step explanation:
A linear model should be used when you want to view the data as a continuous response. This means that when the data is increasing/describing then the line should be in a uniform pattern.
If you were to look at the residual plot, you can see that the points curve in a pattern, meaning that the point is not scattered which is not good criteria for a residual plot.
Mentioned before, the points on the residual plot are in a pattern, so it’s not scattered as well.
Answer:
138
Step-by-step explanation:
Population standard deviation = 
.95 probability of estimating the population mean monthly income within a margin of $20
So, Significance level = 1-0.95 = 0.05
α =0.05
Margin error = 20

Z at 0.05 = 1.96




So, n = 138
Hence sample size should be 138 selected to obtain a .95 probability of estimating the population mean monthly income within a margin of $20
So make the improper fraction into a mixed fraction.
36/10 in mixed fraction form is 3 6/10
You know that 3 is a whole number and 6 is the decimals tenths place so the decimal is 3.6
The median is the middle number