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In: Statistics and Probability

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

Hours of sitting per day significantly predicts the amount of weight gain (in 6 months). The regression equation is WeightGain = 11 + 0.35 * HoursSit. Data are from 555 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:(0.2716, 0.4284), which means the slope is statistically significant.

95%CI:(10.9216, 11.0784), which means the slope isn't statistically significant.

95%CI:(0.2716, 0.4284), which means the slope isn't statistically significant.

95%CI:(10.9216, 11.0784), which means the slope is statistically significant.

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TOPIC:Confidence interval for the slope coefficient in regression.

orchestra answered 2 years ago
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