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Hours of sitting per day significantly predicts the amount of weight gain (in 6 months). The regression equation is WeightGain = 8 + 0.24*

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Hours of sitting per day significantly predicts the amount of weight gain (in 6 months). The regression equation is WeightGain = 8 + 0.24* HoursSit. Data are from 471 full-time employees in a public urban university. With a standard error for the slope (SE_b1) of 0.03, what is the 95% confidence interval of the slope. O 95%CI: (7.9412, 8.0588), which means the slope is statistically significant. O95%CI: (7.9412, 8.0588), which means the slope isn't statistically significant. O95% CI:(0.1812, 0.2988), which means the slope is statistically significant. O 95% CI:(0.1812, 0.2988), which means the slope isn't statistically significant.

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