Use the step by step procedures: Social scientists have longbeen interested in the relationship between economic developmentand health. To gain some insight into this relationship, we canutilize data on the life expectancy of females from birth and GDPper capita. you’ll find data from 91 countries. Use the data in thesheet entitled “Part 2 Question 9” to calculate and interpret thecorrelation coefficient.

GNP	LExpF
600	75.5
2250	74.7
2980	77.7
2780	73.8
1690	75.7
1640	72.4
2242	74.0
1880	75.9
1320	74.8
2370	72.7
630	55.4
2680	67.6
1940	75.1
1260	69.2
980	67.6
330	66.1
1110	68.5
1160	66.5
2560	74.9
2560	72.8
2490	66.0
15540	76.8
26040	78.7
22080	77.7
19490	80.5
22320	78.4
5990	74.0
9550	76.7
16830	78.6
17320	79.9
23120	75.7
7600	72.4
11020	78.6
23660	80.0
34064	80.0
16100	77.9
17000	79.6
25430	81.8
20470	79.8
21790	78.3
168	42.0
6340	69.4
2490	55.0
3020	64.8
10920	77.4
1240	67.8
16150	75.4
5220	65.8
7050	65.2
1630	65.8
19860	72.9
210	56.0
380	70.9
14210	80.1
350	52.1
570	62.0
2320	71.6
110	62.5
170	48.1
380	59.2
730	66.1
11160	74.0
470	71.7
1420	68.9
2060	63.3
610	46.1
2040	59.7
1010	55.3
600	60.3
120	45.6
390	53.2
260	44.6
390	55.8
370	60.5
5310	62.6
200	41.2
960	62.5
80	48.1
1030	57.5
360	52.2
240	42.6
120	46.6
2530	63.5
480	51.0
810	49.5
1440	66.4
220	52.7
110	54.7
220	53.7
420	52.5
640	60.1

(1) Using a similar dataset in “Part2 Question 10”, calculate and interpret the correlation coefficientfor the data on a life expectancy of males from birth and GDP percapita.

GNP	LExpM
600	69.6
2250	68.3
2980	71.8
2780	65.4
1690	67.2
1640	66.5
2242	64.6
1880	66.4
1320	66.4
2370	65.5
630	51.0
2680	62.3
1940	68.1
1260	63.4
980	63.4
330	60.4
1110	64.4
1160	56.8
2560	68.4
2560	66.7
2490	62.1
15540	70.0
26040	70.7
22080	71.8
19490	72.3
22320	71.8
5990	65.4
9550	71.0
16830	72.0
17320	73.3
23120	67.2
7600	66.5
11020	72.5
23660	74.2
34064	73.9
16100	72.2
17000	73.3
25430	75.9
20470	73.0
21790	71.5
168	41.0
6340	66.8
2490	55.8
3020	63.0
10920	73.9
1240	64.2
16150	71.2
5220	62.2
7050	61.7
1630	62.5
19860	68.6
210	56.9
380	68.0
14210	74.3
350	52.5
570	58.5
2320	67.5
110	60.0
170	50.9
380	59.0
730	62.5
11160	68.7
470	67.8
1420	63.8
2060	61.6
610	42.9
2040	52.3
1010	50.1
600	57.8
120	42.4
390	49.9
260	41.4
390	52.2
370	56.5
5310	59.1
200	38.1
960	59.1
80	44.9
1030	55.0
360	48.8
240	39.4
120	43.4
2530	57.5
480	48.6
810	42.9
1440	64.9
220	49.9
110	51.3
220	50.3
420	50.4
640	56.5