Question 3 3. A study was done to determine whether or not tall skaters have an advantage when it comes to earning high artistic scores in figure skating competitions. Height (cm) 178 163 182 157 170 159 Artistic Score 41.21 34.25 35.11 39.01 32.61 31.21 How would you describe the relationship between height and artistic score? Construct a scatterplot to answer the question. A strong positive linear relationship A strong negative linear relationship A curve that decreases then increases There is no recognizable pattern between height and artistic score Question 4 1 pts 1 pts 4. A university coach wanted to determine the relationship between basketball players' average points scored during a game and their corresponding average minutes per game. The correlation between average points and minutes per game was found to be r = 0.783. What does this tell us about the relationship between average points and minutes per game? On average, as average points per game increases, the average minutes per game increases. On average, as average points per game increases, the average minutes per game decreases. On average, as average points per game increases, the average minutes per game stays the same. Question 1 1. The following statement contains an error. Choose the statement that best explains the error. "The correlation between shoe size and height is 0.87 inches" Correlation requires that both of the variables be categorical When stating the correlation coefficient, one must state whether it is a positive or negative relationship This statement does not tell us whether or not shoe size is correlated with height When reporting correlation, one does not report units because correlation has no units There is no error in this statement Question 2 2. What is the best estimate of the correlation coefficient for the scatterplot below? Data Set 2 70+ 60- 50 40 3040 50 60 Data Set 1 0000 -0.89 -0.34 0.03 0.56 Question 5 5. How will the outlier in this data set affect the correlation coefficient? 7 9 5 4 3 2 1 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 The correlation coefficient will stay the same with the outlier. The correlation coefficient will get closer to -1.0 with the outlier. The correlation coefficient will get closer to +1.0 with the outlier. The correlation coefficient will get closer to 0.0 with the outlier 1 pts