Fitting a simple linear regression model to this dataset using R, the following results are obtained: Call: Im(formula = PulseRate ~ BodyTemp) Residuals: Min 1Q Median 30 Max -17.2660 -2.7901 0.1122 3.8583 15.1807 Coefficients: Estimate Std. Error t value Pr(>It!) (Intercept) -145.059 115.060 -1.261 0.2135 BodyTemp 2.233 1.171 1.907 0.0625 Signif. codes: 0 0.001 0.01 0.05 2 0.1"1 Residual standard error: 6.273 on 48 degrees of freedom Multiple R-squared: 0.07045, Adjusted R-squared: 0.05109 F-statistic: 3.638 on 1 and 48 DF, p-value: 0.06246 b)) Write the sample prediction equation. Use it to predict the pulse rate of an adult whose body temperature is 99.0 degrees F. C Test the hypothesis that the population slope is zero (which means, there is no linear association between body temperature and pulse rate). State the hypotheses of the test, the test statistic, and your conclusion using the significance level 0.10