**This is timed. Don't take longer than 60 min to answer**

Question list K For each of the scatter plots below, determine whether there is a perfect positive linear correlation, a strong positive linear correlation, a perfect negative linear correlation, a strong negative linear correlation, or no linear correlation between the variables. . . . O Question 10 O Question 11 . . O Question 12 . O Question 13 O Question 14 O Question 15 O Question 16 Drag each of the scatter plots given above into the appropriate area below. NextFor each of the scatter plots below. determine whether there is a perfect positive linear correlation, a strong positive Question "St '6 linear correlation, a perfect negative linear correlation, a strong negative linear correlation, or no linear correlation between the variables. <:> 0 Question 10 Drag each otthe scatter plots given above into the appropriate area below. perfect positive linear correlation strong positive linear correlation perfect negative linear correlation 0 Question 11 0 Question 12 0 Question 13 O QueStion 14 strong negative linear correlation no linear correlation 0 Question 15 0 Question 16 An analyst used the regression line for the data to the right Question list K to predict the annual salary for a registered nurse with 28 Registered Nurses years of experience. Is this a valid prediction? Explain your reasoning. 70- 65 . . . O Question 10 60 55 Annual salary (in thousands) O A. Yes, the prediction is meaningful because x = 28 50 makes sense in the context of the original data O Question 11 set. 45 O B. No, the prediction is not meaningful because the 40- regression line may not be used to generate O Question 12 meaningful predictions. 2 6 8 10 12 14 16 18 20 22 24 O C. No, the prediction is not meaningful because Years of experience x = 28 is outside the range of the original data set. O Question 13 O D. Yes, the prediction is meaningful because x = 28 is not part of the original data set. O Question 14 O Question 15 O Question 16 NextWhich value of r indicates a stronger correlation: r = 0.783 or r= - 0.937? Explain your reasoning. Question list K Choose the correct answer below. O Question 10 O A. r= - 0.937 represents a stronger correlation because 0.783> - 0.937. O B. r= 0.783 represents a stronger correlation because 0.783 > - 0.937. O Question 11 O C. r= - 0.937 represents a stronger correlation because | - 0.937| > |0.783|. O D. r= 0.783 represents a stronger correlation because | - 0.937| > |0.7831. O Question 12 O Question 13 O Question 14 Question 15 O Question 16 Next