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#### 1) Open the Bears data set and use the values for age (x) and the values for weight (y) to find the following

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1) Open the Bears data set and use the values for age (x) and the values for weight (y) to find the following. (Ages are in months and weights are in pounds)
a. Display the scatterplot of the paired age/weight data. Based on that scatterplot, does thee appear to be a relationship between the ages of bears and their weights? If so, what is it?_________________________
b. Find the value of the linear correlation coefficient r._____________
c. Assuming a 0.05 level of significance, what do you conclude about the correlation between ages and weights of bears?_________________
d. Find the equation of the regression line. (Use age as the x predicator variable, and use weight as the y response variable)._____________
e. What is the best predicted weight of a bear that is 36 months old?___

2) Open the Bears data set and use the values for the chest sizes (x) and the values for weights (y) to find the following.
a. Display the scatter diagram of the paired chest size/weight data. Based on that scatter diagram, does there appear to be a relationship between the chest sizes of bears and their weights? If so, what is it?___________
b. Find the value of the linear correlation coefficient r.
c. Assuming a 0.05 level of significance, what do you conclude about the correlation between chest sizes and weights of bears?
d. Find the equation of the regression line. (Use chest size as the x predicator variable, and use weight as the y response variable)._____________
e. What is the best predicted weight of a bear that has a chest size of 40 in.?

3) Open the Home Sales data set. Assume that you would like to purchase a home with a list price of \$399,000. Also assume that the home has a living area of 2500 square feet, it has 7 rooms, 3 bathrooms, is 15 years old, sits on a lot with an area of 0.87 acre, and the current owners pay \$6,000 in taxes. You would like to find the best regression or multiple regression equation so that your estimate of the selling price is the best estimate possible.
a. Which regression equation or multiple regression is best?
b. Explain choice in part a.
c. What is the best predicted value of the selling price?
d. What is an advantage of knowing the best equation that can be used for predictions?
e. What is a disadvantage of not knowing the best equation that can be used for predictions?

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