pts Question 15 Hours of sitting per day significantly predicts the amount of weight gain (in 6 months). The regression

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pts Question 15 Hours of sitting per day significantly predicts the amount of weight gain (in 6 months). The regression

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Pts Question 15 Hours Of Sitting Per Day Significantly Predicts The Amount Of Weight Gain In 6 Months The Regression 1
Pts Question 15 Hours Of Sitting Per Day Significantly Predicts The Amount Of Weight Gain In 6 Months The Regression 1 (52.54 KiB) Viewed 30 times
pts Question 15 Hours of sitting per day significantly predicts the amount of weight gain (in 6 months). The regression equation is WeightGain = 10 +0.34 HoursSit. Data are from 319 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. O 95% CI:(9.9216, 10.0784), which means the slope isn't statistically significant. O 95% CI:(0.2616, 0.4184), which means the slope isn't statistically significant. O 95 % CI:(9.9216, 10.0784), which means the slope is statistically significant. O 95% CI:(0.2616, 0.4184), which means the slope is statistically significant.
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