Take a look at the following multiple regression output. The dependent variable is the mental well-being...

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Take a look at the following multiple regression output. The dependent variable is the mental well-being of adolescents, measured by an established mental well-being scale (scores ranging from 14-100, where higher scores represent better well-being). The variable "entertain" is the average amount of time in hours per day participants use digital screens for entertainment purposes (e.g., watching TV/films/TikTok videos or playing video games). The variable "work" is the participants' daily average work or study times in hours on the digital screen. Finally, the variable "background" is a dichotomous variable indicating whether the participants are from a low socioeconomic background (coded 0) or a high socioeconomic background (coded 1). Source Model Residual Total SS 4981.32955 41232.3225 46213.6521 df 3 86 MS wellbeing Coefficient Std. err. entertain work background cons 1660.44318 479.445611 89 519.254518 Number of obs F(3, 86) Prob > F R-squared Adj R-squared Root MSE t P>|t| -3.318161 1.260438 -2.63 0.010 2.928913 1.365975 2.14 0.035 -.3306306 6.624899 -0.05 0.960 64.03838 11.92127 5.37 0.000 = -13.50049 40.33967 = = 90 3.46 0.0198 0.1078 0.0767 21.896 [95% conf. intervall -5.823828 -.8124937 .2134439 5.644382 12.83923 87.73708 (1) Write a one-sentence research question that this statistical analysis output could have addressed. (2) Write a single-paragraph APA7-style conclusion summarising the results addressing the research questi posed above. Take a look at the following multiple regression output. The dependent variable is the mental well-being of adolescents, measured by an established mental well-being scale (scores ranging from 14-100, where higher scores represent better well-being). The variable "entertain" is the average amount of time in hours per day participants use digital screens for entertainment purposes (e.g., watching TV/films/TikTok videos or playing video games). The variable "work" is the participants' daily average work or study times in hours on the digital screen. Finally, the variable "background" is a dichotomous variable indicating whether the participants are from a low socioeconomic background (coded 0) or a high socioeconomic background (coded 1). Source Model Residual Total SS 4981.32955 41232.3225 46213.6521 df 3 86 MS wellbeing Coefficient Std. err. entertain work background cons 1660.44318 479.445611 89 519.254518 Number of obs F(3, 86) Prob > F R-squared Adj R-squared Root MSE t P>|t| -3.318161 1.260438 -2.63 0.010 2.928913 1.365975 2.14 0.035 -.3306306 6.624899 -0.05 0.960 64.03838 11.92127 5.37 0.000 = -13.50049 40.33967 = = 90 3.46 0.0198 0.1078 0.0767 21.896 [95% conf. intervall -5.823828 -.8124937 .2134439 5.644382 12.83923 87.73708 (1) Write a one-sentence research question that this statistical analysis output could have addressed. (2) Write a single-paragraph APA7-style conclusion summarising the results addressing the research questi posed above.

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1 The research question that this statistical analysis output could have addressed is How do daily h... View the full answer