Desiree is interested in the relationship between caffeine consumption and hours spent studying at her university. She randomly selects $20$ students at her school and records their caffeine intake (mg) and the amount of time spent studying in a given week.
A computer output from a least-squares regression analysis on these data is shown below.
Predictor | Coef | SE Coef |T| P|
- | - | -
**Constant** | $2.544$ | $0.134$ | $18.955$ | $0.000$
**Hours Studying**| $0.164$| $0.057$| $2.862$|$0.005$
$S=1.532\quad R\text{-}Sq=60.032\%\quad R\text{-}Sq (adj) = 58.621\%$
**If Desiree's $95\%$ confidence interval for her regression slope is $\left(0.044, 0.284\right)$, which of the following is a true statement?**
[[☃ radio 1]]