Pearson coefficient calculations:

# Jews v. Cases/Million r = 0.6199 (p = .000154)

# Christians v. Cases/Million r = .5876 (p = .000416)

# Int Adoptions v. Cases/Million r = 0.5371 (p = .000675)

Tourist Revenue v. Cases/Million r = .483 (p= .005)

# Tests/million v. Cases/Million r = 0.3925 (p = .026)

Wealth v. Cases/Million r = 0.3592 (p = .044)

Not significant.

Imports v cases/million

GDP/person v cases per million

Weighted population density v cases/million

Democracy index v cases/million

# Muslims v cases/million

Individuality index v cases/million

Social tightness v cases/million.

Regression equations:

1) Cases/million = 481.8278 + 0.4358 x christians + 1.2311 x jews + 14.168 x tests/million; 481.8278 (p = .5896 ) .4358 (p = .0002 ) 1.2311 (p = .0052 ) 14.1658 ( p = .0004 ) ; overall r6688 .=2 ; p = <.0001

2) cases/million = 811.53656 + .47958 x #christians + .47737 x int. adoptions + 15.16184 x tests/million - .80862 x Net Wealth ; 811.53656 (p = .42816), .47958 (p = .00083), .47737 (p = .04058), 15.16184 (p = .00493), .80862 (p = .10171) ; overall: R- squared .62492, p = .00002.

3) cases/million = 2552.65964 + 1.28701 x #Jews + .49275 x int. adoptions + 8.52382 x tests/million - .56025 x Net Wealth ; 2552.65964 (p = .02), 1.28701 (p = .04), .49275 (p = .07392), 8.52382 (p = .136), -.56025 (p = .30684) ; overall: R- squared .51199, p = .00049

4) cases/million = 1042.7738 + 1.2967 x # Jews + .4841 x # Christians + .3059 x # int. adoptions -10.3612 x tourist revenue + 13.2326 x tests/million - .7981 x wealth ; 1042.7738 (p = .3588), 1.2967 (p = .0135), .4841 (p = .0003), .3059 (p = .3949), -10.3612 (p = .8181), 13.2326 ( p = .0077), .7981 (p = .1083); overall: R-squared = .7137, p = <.0001.

My study suggests a psychological connection between # int. adoptions and COVID19 cases/million; however #int. adoptions doesn't perform well in linear regression equations. What can I conclude?

# Jews v. Cases/Million r = 0.6199 (p = .000154)

# Christians v. Cases/Million r = .5876 (p = .000416)

# Int Adoptions v. Cases/Million r = 0.5371 (p = .000675)

Tourist Revenue v. Cases/Million r = .483 (p= .005)

# Tests/million v. Cases/Million r = 0.3925 (p = .026)

Wealth v. Cases/Million r = 0.3592 (p = .044)

Not significant.

Imports v cases/million

GDP/person v cases per million

Weighted population density v cases/million

Democracy index v cases/million

# Muslims v cases/million

Individuality index v cases/million

Social tightness v cases/million.

Regression equations:

1) Cases/million = 481.8278 + 0.4358 x christians + 1.2311 x jews + 14.168 x tests/million; 481.8278 (p = .5896 ) .4358 (p = .0002 ) 1.2311 (p = .0052 ) 14.1658 ( p = .0004 ) ; overall r6688 .=2 ; p = <.0001

2) cases/million = 811.53656 + .47958 x #christians + .47737 x int. adoptions + 15.16184 x tests/million - .80862 x Net Wealth ; 811.53656 (p = .42816), .47958 (p = .00083), .47737 (p = .04058), 15.16184 (p = .00493), .80862 (p = .10171) ; overall: R- squared .62492, p = .00002.

3) cases/million = 2552.65964 + 1.28701 x #Jews + .49275 x int. adoptions + 8.52382 x tests/million - .56025 x Net Wealth ; 2552.65964 (p = .02), 1.28701 (p = .04), .49275 (p = .07392), 8.52382 (p = .136), -.56025 (p = .30684) ; overall: R- squared .51199, p = .00049

4) cases/million = 1042.7738 + 1.2967 x # Jews + .4841 x # Christians + .3059 x # int. adoptions -10.3612 x tourist revenue + 13.2326 x tests/million - .7981 x wealth ; 1042.7738 (p = .3588), 1.2967 (p = .0135), .4841 (p = .0003), .3059 (p = .3949), -10.3612 (p = .8181), 13.2326 ( p = .0077), .7981 (p = .1083); overall: R-squared = .7137, p = <.0001.

My study suggests a psychological connection between # int. adoptions and COVID19 cases/million; however #int. adoptions doesn't perform well in linear regression equations. What can I conclude?

Last edited: