lizs math test included a survey question asking how many hours students spent studying for the test. the…

lizs math test included a survey question asking how many hours students spent studying for the test. the scatterplot and regression line below show the relationship between how many hours students spent studying and their score on the test. the fitted line has a slope of 15. what is the best interpretation of this slope? choose 1 answer: a the model predicts that students who scored 0 studied for an average of 15 hours. b the model predicts that students who didnt study at all will have an average score of 15 points. c the model predicts that the score will increase 15 points for each additional hour of study time. d the model predicts that the study time will increase 15 hours for each additional point scored.

lizs math test included a survey question asking how many hours students spent studying for the test. the scatterplot and regression line below show the relationship between how many hours students spent studying and their score on the test. the fitted line has a slope of 15. what is the best interpretation of this slope? choose 1 answer: a the model predicts that students who scored 0 studied for an average of 15 hours. b the model predicts that students who didnt study at all will have an average score of 15 points. c the model predicts that the score will increase 15 points for each additional hour of study time. d the model predicts that the study time will increase 15 hours for each additional point scored.

Answer

Brief Explanations:

In a regression - line context, the slope represents the change in the dependent variable (test score) for a one - unit change in the independent variable (study time). Here, for each additional hour of study time (one - unit change in study time), the test score (dependent variable) is predicted to increase by 15 points.

Answer:

C. The model predicts that the score will increase 15 points for each additional hour of study time.