Calculate a 95% confidence interval for the effect of a one unit increase in exercise on restingheart rate for a non-smoker (Smoke=0). That is, creat a 95% confidence interval for B2. Use 1.96as the 95% multiplier.What is the lower limit of this 95% confidence interval? An observational study was conducted where subjects were randomly sampled and then hadtheir resting heart rate recorded, as well as their smoking status (0 for non-smoker and 1 forsmoker) 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 andexplanatory variables of smoking status (0 for non-smoker and 1 for smoker) and exerciseamount per day in hours, along with an interaction between smoking status and exerciseamount.The output is below:Coefficients:Estimate Std. Error t value Pr(>t)(Intercept)84.81721.955343.377<2e-16 ***Smoke-2.26455.0665-0.4470.6551Exercise-7.36840.8075-9.125<2e-16 ***Smoke: Exercise1.95622.55100.7670.4442Signif. codes:O **** 0.001 (*** 0.01 *' 0.05 .' 0.1 '1Residual standard error: 8.396 on 228 degrees of freedomAdjusted R-squared:Multiple R-squared: 0.2971,F-statistic: 32.13 on 3 and 228 DF, p-value: < 2.2e-160.2879The model that was fit is:Rest; = Bo + B, Smoke; + B2Exercise; + B3 Smoke; * Exercise; + e;

Solution: Given information: n= 232 observation. k=3 independent variables. β2^= -7.3684 Slope…

Answered: An observational study was conducted…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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