DP Math AI · HL / SL · Statistics and Probability

SL 4.4—Correlation of Data

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  1. Question 1

    A company records monthly advertising spend (x, in thousands of dollars) and monthly sales (y, in thousands of dollars) for 10 months. The GDC output gives r=0.87. Which statement best describes this correlation?
    No clue? Show me the answer
    Correct answerCorrect!Incorrect
    AStrong positive linear correlation

    Step-by-step walkthrough

    Choose a solution method

    Method #1Worked solution

    Step 1: Locate the value

    We are given r=0.87, which is positive and close to 1.

    Step 2: Apply the guideline table

    Since 0.75≤r<1, this falls in the 'strong positive correlation' band.

    Step 3: State conclusion

    A strong positive linear correlation exists between advertising spend and sales.

    Step 4: Choose option

    This matches option B.

    Method #2Why the others are wrong

    Step 1: Option A

    Weak positive would require r between 0 and 0.5, not 0.87.

    Step 2: Option C

    Negative correlation requires a negative r value, but r=0.87>0.

    Step 3: Option D

    No correlation would mean r≈0, not 0.87.

    Step 4: Confirm

    Only strong positive correctly matches r=0.87.

  2. Question 2

    A scatter diagram of a car's age (x, years) against its resale value (y, thousands of dollars) shows points sloping downward, tightly clustered around a straight line. Which correlation coefficient value is most consistent with this diagram?
    No clue? Show me the answer
    Correct answerCorrect!Incorrect
    Br=−0.95

    Step-by-step walkthrough

    Choose a solution method

    Method #1Worked solution

    Step 1: Direction

    Points slope downward, so as x increases, y decreases — a negative correlation.

    Step 2: Strength

    Points are tightly clustered around a line, indicating a strong correlation, so ∣r∣ should be close to 1.

    Step 3: Combine

    Negative and strong means r close to −1.

    Step 4: Choose option

    r=−0.95 matches both direction and strength.

    Method #2Why the others are wrong

    Step 1: Option A

    r=0.95 is positive, implying an upward slope, which contradicts the description.

    Step 2: Option C

    r=−0.10 is far too close to zero for a tightly clustered pattern.

    Step 3: Option D

    r=0.10 has both wrong sign and wrong magnitude.

    Step 4: Confirm

    Only r=−0.95 fits a strong, negative, linear pattern.

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