Answer:
Check the explanation
Step-by-step explanation:
Social Median GDP (PPP), Y X^2 Y^2 XY
usage (%), X
18085 66 327067225 4356 1193610
15833 56 250683889 3136 886648
6117 47 37417689 2209 287499
6559 42 43020481 1764 275478
9948 40 98962704 1600 397920
15264 41 232989696 1681 625824
17522 50 307020484 2500 876100
4661 34 21724921 1156 158474
9833 54 96687889 2916 530982
5186 22 26894596 484 114092
18579 69 345179241 4761 1281951
19105 67 365001025 4489 1280035
13580 59 184416400 3481 801220
12115 49 146773225 2401 593635
15614 44 243796996 1936 687016
5289 45 27973521 2025 238005
7508 29 56370064 841 217732
11521 43 132733441 1849 495403
2824 32 7974976 1024 90368
3542 27 12545764 729 95634
1855 36 3441025 1296 66780
2056 35 4227136 1225 71960
3142 7 9872164 49 21994
1473 13 2169729 169 19149
Total 227211 1007 2984944281 48077 11307509
Sample size: n=24
Now,
Syy= 5824.95833
833909342.6
ry 1774114.125 ry
The coefficient of correlation is :
0.805
The coefficient of correlation indicates a strong and positive correlation between the variables.
(b)
For hypotheses correct option is (a).
The test statistics is
= 6.36
Degree of freedom: df=n-2= 22
The p-value is: 0.000
The critical value of t is to/2 = 2.07
Since p-value is less than 0.05 so we reject the null hypothesis. There is significant evidence ....
