QUESTION 8 The regression equation predicting the weight in pounds of an orangutan (y) based on the orangutan's height in inches (x) is given by: y-hat = -172.68 + 4.842 > Interpret the slope of the regression line. For every one inch increase in height, the predicted weight increases by 4.842 pounds. For every one inch increase in height, the predicted weight decreases by 4.842 pounds. For every one pound increase in weight, the predicted height decreases by 4.842 inches. O For every one pound increase in weight, the predicted height increases by 4.842 inches. QUESTION 9 If a positive association exists between two quantitative variables, The slope will be negative O We do not know if the slope will be positive or negative. O The slope will be positive The slope will be 0. QUESTION 10 If a positive association exists between two quantitative variables, as x increases, y stays the same as x increases, y decreases O as x increases, y increases QUESTION 11 Suppose you were to collect data for the pair of given variables in order to make a scatterplot. For the variables time spent on homework before an exam and the exam grade, which is more naturally the response variable and which is the explanatory variable? O Time spent on homework: explanatory variable Exam grade: response variable O They are both response variables O They are both explanatory variables Time spent on homework: response variable Exam grade: explanatory variable