Hours of sitting per day significantly predicts the amount of weight gain (in 6 months). The regression equation is Weig

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Hours of sitting per day significantly predicts the amount of weight gain (in 6 months). The regression equation is Weig

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Hours Of Sitting Per Day Significantly Predicts The Amount Of Weight Gain In 6 Months The Regression Equation Is Weig 1
Hours Of Sitting Per Day Significantly Predicts The Amount Of Weight Gain In 6 Months The Regression Equation Is Weig 1 (35.01 KiB) Viewed 37 times
Hours of sitting per day significantly predicts the amount of weight gain (in 6 months). The regression equation is WeightGain = 6 +0.53* HoursSit. Data are from 401 full-time employees in a public urban university. With a standard error for the slope (SE _b1) of 0.04, what is the 95% confidence interval of the slope. 95%CI:(0.4516, 0.6084), which means the slope is statistically significant. 95% CI: (5.9216, 6.0784), which means the slope isn't statistically significant. 95% CI:(0.4516, 0.6084), which means the slope isn't statistically significant. 95% CI: (5.9216, 6.0784), which means the slope is statistically significant.
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