1. make a scatter plot between Home Taxes and Selling Price of Homes. Be sure to consider which variable is the independent (and therefore x) variable and which is the y variable. (2 points)Hint: Nicer neighbourhoods have higher taxes Clearly, title your scatter plot and properly label your axis. (2 points)

2. Calculate the Correlation Coefficient between Home Taxes and Selling Price of Home and round to 4 decimals (2 points). Interpret the Correlation Coefficient. (2 points)

3. Determine the Line of Best Fit equation between the two variables above. (2 points) Interpret the slope (m) of the Line of Best Fit (2 points) Interpret the y-intercept (b) of the Best Fit Line (1 point)

4. Determine what the average home taxes if the selling price is $450,000. (2 points)

5. Determine the Coefficient of Determination. (no points) Interpret the Coefficient of Determination (2 points)

6. Determine the Standard Error of Estimate (1 points) Interpret the Standard Error of the Estimate (2 points)

List Price	Selling Price	Home Taxes	Acres	Area	Age	Taxes	Rooms	Bedrooms	Baths (full)
414000	400000	4920	2.27	2704	27	4920	9	3	3
379000	370000	4113	0.75	2096	21	4113	8	4	2
389900	382500	6072	1	2737	36	6072	9	4	2
299900	300000	4024	0.43	1800	34	4024	8	4	2
319900	305000	3562	3.6	1066	69	3562	6	3	2
319900	320000	4672	1.7	1820	34	4672	7	3	2
328900	321000	3645	0.81	2700	35	3645	8	3	1
450000	445000	6256	2	2316	19	6256	9	4	2
385000	377500	5469	1.5	2448	40	5469	9	4	3
479000	460000	6740	1.09	3040	20	6740	10	4	2
275000	265000	4046	1.6	1500	39	4046	6	2	2
299000	299000	3481	0.42	1448	44	3481	7	3	1
379000	385000	4411	0.89	2400	33	4411	9	4	3
435000	430000	5714	4.79	2200	6	5714	8	4	2
219900	214900	2560	0.25	1635	49	2560	5	3	1
485000	475000	7885	11.58	2224	21	7885	7	3	2
289000	280000	3011	0.46	1738	49	3011	8	3	2
499900	457000	9809	1.84	3432	14	9809	11	4	3
224900	210000	1367	0.94	1175	64	1367	7	3	1
274900	272500	2317	1.39	1393	44	2317	6	3	1
275000	268000	3360	0.83	1196	44	3360	4	2	1
319900	300000	4294	0.57	1860	32	4294	9	3	2
479000	477000	9135	1.1	3867	19	9135	10	4	4
294900	292000	3690	0.52	1800	47	3690	8	2	1
383900	379000	6283	1	2722	29	6283	10	4	3
299900	295000	3286	0.9	2240	144	3286	6	3	1
499000	499000	3894	5.98	2174	62	3894	6	3	2
299000	292000	3476	2.93	1650	52	3476	7	3	1
299900	305000	4146	0.33	2000	36	4146	8	3	3
529700	520000	8350	1.53	3350	6	8350	11	4	2
320000	308000	4584	0.63	1776	42	4584	8	4	2
310000	316000	4380	2	1850	25	4380	7	3	2
362500	355500	4009	0.44	2600	46	4009	10	5	2
229000	225000	3047	0.62	1300	49	3047	6	3	1
290000	270000	2801	0.68	1352	24	2801	6	3	1
259900	253000	4048	0.68	1312	44	4048	6	2	1
314900	310000	2940	1.69	1664	53	2940	6	3	2
309900	300000	4281	0.83	1700	33	4281	8	4	2
295000	295000	4299	2.9	1650	34	4299	6	2	2
479000	478000	6688	2.14	2400	6	6688	8	4	2