Common Core HSS.ID.B.6 worksheet
High school · 16 questions · Common Core: HSS.ID.B.6, HSS.ID.C.7, HSS.ID.C.8
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Date
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Question 1
The regression line is ŷ = 2x + 7. By how much does the predicted y change when x increases by 1?
Answer
Question 2
A correlation coefficient is r = −0.4. How would you describe the correlation?
- A. strong positive
- B. strong negative
- C. weak positive
- D. weak negative
- E. no linear correlation
Question 3
The regression line is ŷ = 4x + 19. A data point is (7, 41). What is its residual (actual − predicted)?
Answer
Question 4
A correlation coefficient is r = 0.02. How would you describe the correlation?
- A. strong positive
- B. strong negative
- C. weak positive
- D. weak negative
- E. no linear correlation
Question 5
The regression line is ŷ = 8x + 29. A data point is (16, 153). What is its residual (actual − predicted)?
Answer
Question 6
A correlation coefficient is r = 0.02. How would you describe the correlation?
- A. strong positive
- B. strong negative
- C. weak positive
- D. weak negative
- E. no linear correlation
Question 7
The regression line is ŷ = 5x + 18. A data point is (4, 35). What is its residual (actual − predicted)?
Answer
Question 8
A correlation coefficient is r = 0.02. How would you describe the correlation?
- A. strong positive
- B. strong negative
- C. weak positive
- D. weak negative
- E. no linear correlation
Question 9
The regression line is ŷ = 2x + 23. A data point is (2, 23). What is its residual (actual − predicted)?
Answer
Question 10
A correlation coefficient is r = 0.45. How would you describe the correlation?
- A. strong positive
- B. strong negative
- C. weak positive
- D. weak negative
- E. no linear correlation
Question 11
The regression line is ŷ = 2x + 3. By how much does the predicted y change when x increases by 1?
Answer
Question 12
A correlation coefficient is r = 0.45. How would you describe the correlation?
- A. strong positive
- B. strong negative
- C. weak positive
- D. weak negative
- E. no linear correlation
Question 13
The regression line is ŷ = x + 19. A data point is (13, 28). What is its residual (actual − predicted)?
Answer
Question 14
A correlation coefficient is r = −0.4. How would you describe the correlation?
- A. strong positive
- B. strong negative
- C. weak positive
- D. weak negative
- E. no linear correlation
Question 15
The regression line is ŷ = x + 3. A data point is (2, −1). What is its residual (actual − predicted)?
Answer
Question 16
A correlation coefficient is r = −0.4. How would you describe the correlation?
- A. strong positive
- B. strong negative
- C. weak positive
- D. weak negative
- E. no linear correlation
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