Median Listing Price Median Square Feet Mean- 220,024 Mean- 1,626 Median- 220,800 Median- 1,643 StandardDev- 39217.03 StandardDev- 242.2971

listing price	$'s per square foot	square feet
219,500	$116	1,898
254,500	$156	1,632
235,000	$148	1,588
203,800	$141	1,441
220,800	$117	1,893
197,600	$111	1,783
165,800	$122	1,362
246,500	$136	1,814
154,300	$105	1,463
149,700	$116	1,296
145,100	$117	1,239
283,700	$136	2,087
243,000	$133	1,827
229,100	$187	1,224
205,100	$118	1,740
235,600	$140	1,682
212,900	$128	1,659
221,600	$134	1,651
257,700	$123	2,087
211,900	$168	1,263
160,800	$114	1,416
204,200	$131	1,562
172,500	$101	1,710
253,900	$146	1,738
166,300	$127	1,305
210,036	$137	1,752
241,400	$164	1,469
304,300	$152	1,996
248,900	$132	1,880
187,900	$131	1,434
311,100	$154	2,015
254,500	$156	1,628
213,800	$172	1,243
214,100	$134	1,596
207,500	$123	1,688
171,600	$141	1,218
236,700	$140	1,692
266,100	$166	1,599
171,800	$118	1,452
225,300	$151	1,493
227,600	$147	1,550
228,300	$115	1,978
177,000	$107	1,658
248,300	$156	1,587
199,700	$147	1,359
278,700	$165	1,693
185,800	$101	1,847
213,500	$130	1,643
188,000	$151	1,246
270,700	$149	1,815
257,200	$127	2,018
192,400	$129	1,494

1. Scatterplot: Provide a graph of the scatterplot of the data with a line of best fit.
   1. Explain if a regression model is appropriate to develop based on your scatterplot.
2. Discuss associations: Based on the scatterplot, discuss the association (direction, strength, form) in the context of your model.
   1. Identify any possible outliers or influential points and discuss their effect on the correlation.
   2. Discuss keeping or removing outlier data points and what impact your decision would have on your model.
3. Find r: Find the correlation coefficient (r).
   1. Explain how the r value you calculated supports what you noticed in your scatterplot.