In: Statistics and Probability
Answer IN R CODE to get the following. Using the data below,
y |
x |
||
1 |
311.8481 |
30.77326 |
|
2 |
440.9428 |
32.40036 |
|
3 |
41.6744 |
13.89724 |
|
4 |
417.7435 |
30.82836 |
|
5 |
177.3642 |
21.17247 |
|
6 |
639.0727 |
41.70052 |
|
7 |
179.9235 |
20.52949 |
|
8 |
19.64963 |
16.78782 |
|
9 |
1030.218 |
47.05621 |
|
10 |
211.6078 |
24.73312 |
|
11 |
468.797 |
33.30568 |
|
12 |
281.9641 |
27.20706 |
|
13 |
360.4149 |
28.98507 |
|
14 |
626.3254 |
33.98696 |
|
15 |
692.872 |
40.61913 |
|
16 |
840.8116 |
44.14024 |
|
17 |
71.51774 |
14.71966 |
|
18 |
97.75643 |
18.69047 |
|
19 |
251.0697 |
26.53534 |
|
20 |
81.51288 |
19.51529 |
|
21 |
270.3445 |
28.00065 |
|
22 |
1221.873 |
49.81578 |
|
23 |
110.3152 |
20.3347 |
|
24 |
595.4412 |
38.29436 |
|
25 |
126.2188 |
13.26268 |
|
26 |
11.15999 |
16.73084 |
|
27 |
230.5542 |
24.64804 |
|
28 |
77.3025 |
15.99319 |
|
29 |
1117.463 |
48.8532 |
|
30 |
122.5684 |
18.10108 |
|
31 |
932.665 |
44.75007 |
|
32 |
911.0599 |
44.23208 |
|
33 |
255.6625 |
24.33537 |
|
34 |
810.0097 |
41.18667 |
|
35 |
210.4745 |
20.06741 |
|
36 |
9.884425 |
11.10681 |
|
37 |
75.98362 |
11.67823 |
|
38 |
153.6595 |
20.20392 |
|
39 |
578.7254 |
38.05732 |
|
40 |
93.28379 |
12.89079 |
|
41 |
378.1102 |
27.82776 |
|
42 |
203.9408 |
25.8318 |
|
43 |
837.9018 |
43.87759 |
|
44 |
44.45671 |
11.49288 |
|
45 |
1145.79 |
48.94833 |
|
46 |
1073.485 |
47.3091 |
|
47 |
431.1394 |
30.53461 |
|
48 |
343.5504 |
28.65658 |
|
49 |
810.0665 |
41.25828 |
Please provide all relevant work in R code. The commands, the output and any interpretations/conclusions that are necessary.