What is the predicted increase in study hours for every mg of caffeine consumed according to the regression analysis?

• 0.134 hrs

• 0.164 hrs

• 2.544 hrs

• 1.532 hrs

What is the predicted number of study hours when a student does not consume any caffeine?

• 0.164 hrs

• 0.134 hrs

• 2.544 hrs

• 1.532 hrs

What is the coefficient of caffeine (mg) in the regression analysis?

• 0.134

• 0.057

• 0.164

• 2.862

What is the R-squared value of the regression analysis?

• 60.032%

• 58.621%

• 1.532

• 2.544

What does the constant term in the regression analysis represent?

• The predicted increase in study hours for every mg of caffeine

• The predicted number of study hours when no caffeine is consumed

• The standard error of the coefficient

• The total number of students in the study

What is the p-value for the coefficient of caffeine (mg)?

• 0.000

• 0.005

• 0.134

• 0.164

What does the slope of the regression line indicate in this context?

• The predicted number of study hours when no caffeine is consumed

• The predicted increase in study hours for every mg of caffeine

• The total number of students in the study

• The standard error of the coefficient

What does the y-intercept of the regression line indicate in this context?

• The predicted number of study hours when no caffeine is consumed

• The predicted increase in study hours for every mg of caffeine

• The total number of students in the study

• The standard error of the coefficient

What is the adjusted R-squared value of the regression analysis?

• 60.032%

• 58.621%

• 1.532

• 2.544

What does a p-value of 0.005 for the caffeine coefficient suggest?

• The relationship between caffeine intake and study hours is not statistically significant

• The relationship between caffeine intake and study hours is statistically significant

• The predicted number of study hours when no caffeine is consumed

• The total number of students in the study