Choose one of your datasets, clearly label the explanatory variable

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datasets.xlsx

Sheet1

1925		1997
Age, years	Mean daily caloric intake, kCal	Age, years	Mean daily caloric intake, kCal
1	1552	1	1505
2	1420	2	2408
3	1427	3	2037
4	1864	4	2311
5	1589	5	1534
6	1083	6	2081
7	1380	7	2488
8	1421	8	1665
9	1078	9	2167
10	1309	10	1961
11	1381	11	2333
12	1928	12	2127
13	1627	13	2211
14	1531	14	1881
15	1101	15	1995
16	1286	16	1508
17	1278	17	2155
18	1986	18	1573
19	1454	19	1693
20	1612	20	2452
21	1637	21	1661
22	1011	22	1710
23	1751	23	1526
24	1143	24	1887
25	1904	25	2024
26	1479	26	2446
27	1163	27	2111
28	1388	28	1797
29	1487	29	1677
30	1762	30	1802
31	1040	31	2004
32	1996	32	1958
33	1991	33	1970
34	1398	34	1559
35	1319	35	1632
36	1385	36	1690
37	1484	37	2432
38	1005	38	1736
39	1964	39	2295
40	1498	40	1585
41	1203	41	2209
42	1648	42	2093
43	1661	43	2048
44	1206	44	2096
45	1848	45	2372
46	1869	46	1840
47	1059	47	1643
48	1147	48	2030
49	1695	49	2473
50	1359	50	1714

Sheet2

Sheet3

Questions.docx

Choose one of your datasets, clearly label the explanatory variable (X) and the response variable (Y), and test if these data meet two of the conditions of bivariate normality: 1) shape of the scatter plot, 2) normality of the frequency distribution for X and Y. Use proper histogram design rules for 2)

Depending on whether your data meet the conditions for bivariate normality, select the appropriate statistical method to test whether there is a correlation between the two variables.