In: Math
Use the data to assess the correlation between hours studying per week in High School and SAT score. Interpret the result and give the conclusion.
| High School hours per week | SAT Score |
| 15 | 1500 |
| 10 | 1250 |
| 2 | 850 |
| 11 | 1350 |
| 0 | 780 |
| 5 | 810 |
| 6 | 900 |
| 10 | 1100 |
| 16 | 1450 |
| 2 | 810 |



High school HOCHS per week SAT score 15 1500 1500 185 2250000 100 1700 14850 121 1250 830 1350 1 780 810 goo O 4050 25 15 62500 722500 1822500 608 400 G-6100 810000 12 1000 21000 G 56100 540026 10 16 1100 11000 100 1450 2200 206 81016204 10800 96820 871 2 124 00 600 Sum s sxy = Eziyi - (Exi) Eyi) = 96820 - to (77X10800) = 13660 Ssxx = Exi? - Yn ceri)? = 871- %10C77)? = sorr = 2y; 2 - 0 (I yi) ? - 12900600 - Le Clo800)' 278:1 = 736600 corelation coefficient r = ssxy Sser Ssry - 13660 /278.IX 736000 = 0.954
two variables SAT Score are Here rao.954 Hence, the High school hours per Careek op strongly related :