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DA0-002 Data Analysis Practice Question

A data analyst is examining the relationship between advertising spend (in thousands) and sales (in thousands). The Pearson correlation coefficient is computed as r = -0.85. Which of the following interpretations is correct?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

There is a strong negative linear relationship.

Pearson r measures linear correlation: -0.85 indicates a strong negative linear relationship (as one increases, the other decreases). The magnitude |0.85| is close to 1, so strong.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • There is no linear relationship.

    Why it's wrong here

    r is not near 0.

  • There is a strong positive linear relationship between advertising spend and sales.

    Why it's wrong here

    r is negative, so relationship is negative.

  • There is a weak negative linear relationship.

    Why it's wrong here

    |0.85| is strong, not weak.

  • There is a strong negative linear relationship.

    Why this is correct

    Correct: r close to -1 indicates strong negative.

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