3. Add the point of averages, the SD line, and the regression line to the plot. SD LINE 2500 POINT FOR QUESTION 6(A) 2000 " REGRESSION LINE 1500 Rent per month (dollars) 1000 Laj... 500 500 1000 1500 Size (square feet) 4. Add three points showing the size and predicted prices for the three apartments in #1. Blue points 5. What point on the graph shows the average price of all the 1600 square foot apartments? Black circle 6. An apartment is 2 SDs above average in both size and price. (a) Indicate where this point is on the graph. Marked on graph (b) Is this apartment a good deal (based only on size)? Explain why or why not. It's a bad deal because for the same size the average price is at 1900 dollars per month 7. An apartment is selected at random. It is 1252.5 square feet in area, which means that it is SD(s) above the average size among all the apartments being studied. Another way of expressing the relative size of this apartment is that it is at the percentile among all apartments. 8. Using regression, we can predict the apartment from #6 will have a rental price that is SD(s) above average. Expressed as a dollar amount, this is $_ Expressed as a percentile rank, this is the percentile of all the rental prices