If the correlation coefficient r=-0.9000, how would we interpret the R-squared value? A) 81 percent of the variation in the response variable is explained by the variation in the explanatory variable. B) 81 percent of the variation in the explanatory variable is explained by the variation in the response variable. C) 81 percent of the variation in the y is explained by the variation in x. D) 81 percent of the variation in the x is explained by the variation in y.

Jim and Larry run a soup stand. The data below represents the sales of soup that they had on 8 randomly selected days, along with the high temperature on that day.   a) Create a scatter diagram for this data set and comment on whether there is a positive or negative relationship between these variables.b) Calculate the correlation coefficient between temperature and sales.c) Does a linear relationship exist between these variables? Explain to me why or why not this is the case.d) Using excel, calculate the least squares regression equation for this data set. e) Using your equation, predict the soup sales on a day where the temperature is 29 degrees.f) Interpret the slope of this equation.g) Can we use this data set and regression equation to predict the sales on a day when the average temperature is 102 degrees? Why or why not?h) What is the R-squared for this equation? How do you interpret that R-squared?

In a study of the effects of the drug THC on driving performance, driving performance would be the Independent variable. a. true b. false

2. State whether the variables described have a positive correlation, a negative correlation, or no correlation. (a) Income and SAT scores (b) Length of a person's hair and how far they sit from the screen in a movie theater. (c) Hours of exercise per week and blood pressure.