1-Fit a regression line (where MPG is the dependent variable),

2-Interpret your findings, R-square, Coefficient estimates, etc.,

3-Show how you can find R-square by using ANOVA table,

4- Make a prediction,

5- Extrapolate (make predictions for values that are outside of the data range, for example, set horsepower as 1000, or 0, etc) and discuss your findings,

6- Mention the linear regression assumptions.

DATA

MPG	HP
17	300
18	240
18	300
23	270
25	200
21	255
17	330
15	350
20	340
24	215
22	300
19	360
18	325
19	260
17	260
26	225
15	275
18	200
19	197
17	275
13	403
16	255
18	255
17	320
27	103
23	145
21	400
18	185
23	172
20	242
14	320
14	320
15	291
18	240
16	340
16	253
20	180
23	173
17	251
22	172
17	340
12	335
16	197
19	250
16	210
15	510
16	265
19	200
13	300
15	210
20	221
20	300
16	263
31	140
21	166
21	166
34	109
19	255
17	255
25	240
14	220
28	110
19	263
27	138
18	242
23	162
18	173
17	260
19	306
19	275
19	294
19	294
19	300
13	330
22	172
14	235
20	172
15	205
18	200
23	162
28	110
21	182
17	244
15	192
28	138
18	173
13	300
23	272
20	245
15	235
24	204
21	380
19	270
21	288
16	265
20	263
13	300
17	239
29	190
18	244
16	263
27	170
18	238
30	148
23	157
23	160
18	302
21	268
15	335
16	268
17	382
17	382
21	268
16	239
23	160
30	172
23	162
17	215
23	160
19	220
20	287
25	175
13	317
21	255
19	245
15	270
18	235
26	140
29	122
17	261
22	169
20	200
23	177
27	126
20	355
22	240
23	210
21	260
20	224
16	275
24	260
17	257
26	160
23	158
22	173
18	250
21	168
16	256
27	126
18	185
22	143
17	252
16	239
22	280
24	158
21	225
29	130
17	239
18	270
44	110
23	166
18	266
34	106
25	200
24	150
24	200
23	168
22	208
20	235
20	218
16	311