AP Statistics Quiz
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INFERENCE FOR QUANTITATIVE DATA: SLOPES
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A meteorologist recorded n=15n=15 days of data: morning humidity (xx, percent) and afternoon high temperature (yy, degrees Fahrenheit). A least-squares regression of temperature on humidity produced slope b1=−0.22b_1=-0.22. The meteorologist tested H0:β1=0H_0: \beta_1=0 versus Ha:β1≠0H_a: \beta_1\ne 0 and obtained a p-value of 0.620.62. At α=0.05\alpha=0.05, what conclusion is appropriate?
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