Calculate a 95% confidence interval for the effect of a one unit increase in exercise on resting heart rate for a non-smoker (Smoke=0). That is, creat a 95% confidence interval for B2. Use 1.96 as the...

Extracted text: Calculate a 95% confidence interval for the effect of a one unit increase in exercise on resting heart rate for a non-smoker (Smoke=0). That is, creat a 95% confidence interval for B2. Use 1.96 as the 95% multiplier. What is the lower limit of this 95% confidence interval?


Extracted text: An observational study was conducted where subjects were randomly sampled and then had their resting heart rate recorded, as well as their smoking status (0 for non-smoker and 1 for smoker) and how much they exercise on average each day (in hours). A linear regression model is fit where we have response variable of resting heart rate and explanatory variables of smoking status (0 for non-smoker and 1 for smoker) and exercise amount per day in hours, along with an interaction between smoking status and exercise amount. The output is below: Coefficients: Estimate Std. Error t value Pr(>t) (Intercept) 84.8172 1.9553 43.377 <2e-16 ***="" smoke="" -2.2645="" 5.0665="" -0.447="" 0.6551="" exercise="" -7.3684="" 0.8075="" -9.125=""><2e-16 ***="" smoke:="" exercise="" 1.9562="" 2.5510="" 0.767="" 0.4442="" signif.="" codes:="" o="" ****="" 0.001="" (***="" 0.01="" *'="" 0.05="" .'="" 0.1="" '="" 1="" residual="" standard="" error:="" 8.396="" on="" 228="" degrees="" of="" freedom="" adjusted="" r-squared:="" multiple="" r-squared:="" 0.2971,="" f-statistic:="" 32.13="" on="" 3="" and="" 228="" df,="" p-value:="">< 2.2e-16="" 0.2879="" the="" model="" that="" was="" fit="" is:="" rest;="Bo" +="" b,="" smoke;="" +="" b2exercise;="" +="" b3="" smoke;="" *="" exercise;="" +="">