In this lab, I looked at the relationship between depression andboth “addiction” to social media and time spent on socialmedia.
Please describe the relationship in both the summary tables...especially the standard error/ Describle anything you can about thesummary tables.
Below is the table of depression vs. addictionscore
In This Lab I Looked At The Relationship Between Depression And Both Addiction To Social Media And Time Spent On Soci 1 (63.21 KiB) Viewed 18 times
Below is the table of depression vs. time spent onsocial media
In This Lab I Looked At The Relationship Between Depression And Both Addiction To Social Media And Time Spent On Soci 2 (70.44 KiB) Viewed 18 times
> show (aReg) call: 1m(formula = Residuals: Min dep N addic, data = 1Q Median 3Q Max -20.6173 -4.4788 -0.9664 4.5271 26.7931 Coefficients: (Intercept) 16.85251 addic 0.22837 data) Estimate Std. Error t value Pr(>|t|) 1.67466 10.063 < 2e-16 *** 0.07002 3.262 0.00152 ** signif. codes: 0 0.01 '*' 0.05.¹0.1 Residual standard error: 7.725 on 98 degrees of freedom Multiple R-squared: Adjusted R-squared: F-statistic: 10.64 on 1 and 98 DF. p-value: 0.001525 0.09792, 0.001 ( 0.08872 1
> aReg <- summary (1m (dep > show (aReg) call: 1m (formula = Residuals: Min Coefficients: ~ time, data = data)) dep time, data = data) 1Q Median 3Q -21.8169 -4.9542 -0.9255 4.6367 (Intercept) 23.2111 time -0.2436 Max 27.8376 Estimate Std. Error t value Pr(>[t]) 2.8750 8.073 1.77e-12 *** 0.585 0.4443 -0.548 signif. codes: 0 0.05 ¹0.1 Residual standard error: 8.121 on 98 degrees of freedom Multiple R-squared: 0.003059, Adjusted R-squared: F-statistic: 0.3007 on 1 and 98 DF, p-value: 0.5847 0.001 '**' 0.01 ( " 1 -0.007114
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