Dаtа Set оn Student mentаl health versus sоcial media hоurs Do a linear regression analysis to study if there any association between Daily usage hours and Mental health score of students? Observe scatter plot and output to answer. Do not round number answers. Type as in StatCrunch output. The correlation coefficient is [e]. From the correlation coefficient, we can say that there is [f] linear association between Age and Cholesterol level. (positive/ negative / nonlinear) Choose the correct sentence [g] (A / B / C / D) As students' Daily usage hours increases, the mental health score tends to higher. As students' Daily usage hours increases, the mental health score tends to stabilize. As students' Daily usage hours increases, the mental health score tends to be lower. As students' Daily usage hours increases, we cannot conclude about their mental health score. The equation of the regression line is Mental_Health_Score = [a] - [i] Daily_Usage_Hours Based on the scatter plot, the Mental health score for students spending more than 8 hours daily is [h] Choose correct slope interpretation [c] (A / B / C / D) The Mental health score is expected to decrease by 1 for every 0.7 hours increase in Daily usage. The Mental health score is expected to decrease by 0.7 for every 1 hour increase in Daily usage. As the Daily usage increases by 1 hour, the Mental health score is expected to increase by 0.7 As the Mental health score increases by 1 hour, the Daily usage is expected to decrease by 0.7 The intercept value is [b] Can we interpret intercept? [d] (Type A, B, C, D) We can interpret. The typical mental health score of a student spending 0 hours on social media is 9.7 We can interpret. The typical time spent on social media by a student with 0 mental health score is 9.7 hours. We cannot interpret. Mental health score of 0 years is meaningless. We cannot interpret. Daily social media usage of 0 hours is meaningless.