AP Statistics · Question of the Day

AP Statistics Question of the Day

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Monday, September 21, 2026

A botanist measures n=25n=25 plants of the same species and uses linear regression to predict plant height (yy, cm) from hours of sunlight per day (xx). The botanist claims that, in the population, additional sunlight increases average height, so the population regression slope is positive. Which hypotheses are appropriate for testing this claim about the slope?

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Question of the Day

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A botanist measures n=25n=25 plants of the same species and uses linear regression to predict plant height (yy, cm) from hours of sunlight per day (xx). The botanist claims that, in the population, additional sunlight increases average height, so the population regression slope is positive. Which hypotheses are appropriate for testing this claim about the slope?

  1. H0:r=0H_0: r=0 vs. Ha:r>0H_a: r>0
  2. H0:β=0H_0: \beta=0 vs. Ha:β>0H_a: \beta>0 (correct answer)
  3. H0:b=0H_0: b=0 vs. Ha:b>0H_a: b>0
  4. H0:β0H_0: \beta\ne 0 vs. Ha:β=0H_a: \beta=0
  5. H0:β=0H_0: \beta=0 vs. Ha:β0H_a: \beta\ne 0

Explanation: The botanist claims additional sunlight increases plant height, indicating a positive slope in the population regression model. This directional claim requires a one-sided test with the alternative hypothesis showing β > 0. Choice B correctly sets up H₀: β = 0 (no linear relationship) versus Hₐ: β > 0 (positive relationship), using the population parameter β. Choice C incorrectly uses sample slope b, while choice A uses correlation r. Choice E would be appropriate for a two-sided test but doesn't match the directional claim. When a researcher makes a specific directional claim about increase or decrease, the alternative hypothesis must reflect that direction using the appropriate inequality.