xiaojia1222
New Member
- Joined
- Nov 20, 2013
- Messages
- 1
given 100 samples,
to calculate: numbers of hours spent on study is dependent on numbers of hours spent on social networking site.
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So, i've got the coefficient of correlation equals to
to calculate: numbers of hours spent on study is dependent on numbers of hours spent on social networking site.
x (social networking site) | y (study) | x^2 | xy | |
6 | 4 | 36 | 16 | 24 |
6 | 4 | 36 | 16 | 24 |
6 | 3 | 36 | 9 | 18 |
6 | 3 | 36 | 9 | 18 |
6 | 3 | 36 | 9 | 18 |
6 | 3 | 36 | 9 | 18 |
6 | 3 | 36 | 9 | 18 |
6 | 2 | 36 | 4 | 12 |
6 | 2 | 36 | 4 | 12 |
6 | 2 | 36 | 4 | 12 |
6 | 2 | 36 | 4 | 12 |
6 | 2 | 36 | 4 | 12 |
6 | 2 | 36 | 4 | 12 |
6 | 2 | 36 | 4 | 12 |
6 | 2 | 36 | 4 | 12 |
6 | 2 | 36 | 4 | 12 |
6 | 2 | 36 | 4 | 12 |
6 | 2 | 36 | 4 | 12 |
6 | 2 | 36 | 4 | 12 |
6 | 1 | 36 | 1 | 6 |
6 | 1 | 36 | 1 | 6 |
6 | 1 | 36 | 1 | 6 |
6 | 1 | 36 | 1 | 6 |
6 | 1 | 36 | 1 | 6 |
6 | 1 | 36 | 1 | 6 |
6 | 1 | 36 | 1 | 6 |
6 | 1 | 36 | 1 | 6 |
6 | 1 | 36 | 1 | 6 |
6 | 1 | 36 | 1 | 6 |
6 | 1 | 36 | 1 | 6 |
6 | 1 | 36 | 1 | 6 |
6 | 1 | 36 | 1 | 6 |
6 | 1 | 36 | 1 | 6 |
6 | 1 | 36 | 1 | 6 |
4 | 4 | 16 | 16 | 16 |
4 | 4 | 16 | 16 | 16 |
4 | 4 | 16 | 16 | 16 |
4 | 4 | 16 | 16 | 16 |
4 | 3 | 16 | 9 | 12 |
4 | 3 | 16 | 9 | 12 |
4 | 3 | 16 | 9 | 12 |
4 | 3 | 16 | 9 | 12 |
4 | 3 | 16 | 9 | 12 |
4 | 3 | 16 | 9 | 12 |
4 | 3 | 16 | 9 | 12 |
4 | 2 | 16 | 4 | 8 |
4 | 2 | 16 | 4 | 8 |
4 | 2 | 16 | 4 | 8 |
4 | 2 | 16 | 4 | 8 |
4 | 2 | 16 | 4 | 8 |
4 | 2 | 16 | 4 | 8 |
4 | 2 | 16 | 4 | 8 |
4 | 2 | 16 | 4 | 8 |
4 | 2 | 16 | 4 | 8 |
4 | 2 | 16 | 4 | 8 |
4 | 2 | 16 | 4 | 8 |
4 | 2 | 16 | 4 | 8 |
4 | 2 | 16 | 4 | 8 |
4 | 2 | 16 | 4 | 8 |
4 | 1 | 16 | 1 | 4 |
4 | 1 | 16 | 1 | 4 |
2 | 1 | 4 | 1 | 2 |
2 | 2 | 4 | 4 | 4 |
2 | 2 | 4 | 4 | 4 |
2 | 2 | 4 | 4 | 4 |
2 | 2 | 4 | 4 | 4 |
2 | 2 | 4 | 4 | 4 |
2 | 2 | 4 | 4 | 4 |
2 | 2 | 4 | 4 | 4 |
2 | 2 | 4 | 4 | 4 |
2 | 3 | 4 | 9 | 6 |
2 | 3 | 4 | 9 | 6 |
2 | 3 | 4 | 9 | 6 |
2 | 3 | 4 | 9 | 6 |
2 | 3 | 4 | 9 | 6 |
2 | 3 | 4 | 9 | 6 |
2 | 3 | 4 | 9 | 6 |
2 | 3 | 4 | 9 | 6 |
2 | 3 | 4 | 9 | 6 |
2 | 3 | 4 | 9 | 6 |
2 | 4 | 4 | 16 | 8 |
2 | 4 | 4 | 16 | 8 |
2 | 4 | 4 | 16 | 8 |
2 | 4 | 4 | 16 | 8 |
2 | 4 | 4 | 16 | 8 |
2 | 4 | 4 | 16 | 8 |
2 | 4 | 4 | 16 | 8 |
2 | 4 | 4 | 16 | 8 |
2 | 4 | 4 | 16 | 8 |
2 | 4 | 4 | 16 | 8 |
1 | 3 | 1 | 9 | 3 |
1 | 3 | 1 | 9 | 3 |
1 | 3 | 1 | 9 | 3 |
1 | 4 | 1 | 16 | 4 |
1 | 4 | 1 | 16 | 4 |
1 | 4 | 1 | 16 | 4 |
1 | 4 | 1 | 16 | 4 |
1 | 4 | 1 | 16 | 4 |
1 | 4 | 1 | 16 | 4 |
total: 379 | total: 249 | total: 1781 | total: 731 | total: 847 |
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SUMMARY OUTPUT | SUMMARY OUTPUT | |||||||
Regression Statistics | Regression Statistics | |||||||
Multiple R | 0.571423290877713 | Multiple R | ||||||
R Square | 0.326524577357515 | R Square | ||||||
Adjusted R Square | 0.319581531763263 | Adjusted R Square | ||||||
Standard Error | 1.51385801853831 | Standard Error | ||||||
Observations | 99 | Observations | ||||||
ANOVA | ANOVA | |||||||
df | SS | MS | F | Significance F | ||||
Regression | 1 | 107.779496352413 | 107.779496352413 | 47.0290124016784 | 0.000000000653814 | Regression | ||
Residual | 97 | 222.301311728395 | 2.29176610029273 | Residual | ||||
Total | 98 | 330.080808080808 | Total | |||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | ||
Intercept | 6.3798225308642 | 0.401972497115064 | 15.8712911372093 | 0 | 5.58201839569999 | 7.1776266660284 | 5.58201839569999 | Intercept |
X Variable 1 | -1.01446759259259 | 0.147929656422649 | -6.85777022082822 | 0.000000000653814 | -1.30806701159371 | -0.720868173591479 | -1.30806701159371 | X Variable 1 |
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So, i've got the coefficient of correlation equals to
0.57, how can i plot my scatter graph?
please help me, thank you.
please help me, thank you.