The summary of the fitted model is shown below: Call: Im(formula = Time ~ Invoices, data = dataName) Coefficients: Estimate Std. Error t value Pr(>It[) (Intercept) 0.6417099 0.1222707 5.248 1.41e-05 * * * Invoices 0.0112916 0.0008184 13.797 5.17e-14 **# Residual standard error: 0.3298 on 28 degrees of freedom Multiple R-Squared: 0.8718, Adjusted R-squared: 0.8672 F-statistic: 190.4 on 1 and 28 DF, p-value: 5.175e-14 (a) What is the predictor variable? What is the response variable? (b) Calculate the RSS of the fitted model. (c) Calculate SXX (i.e., Er-1 (xi -x) ) Hint: The estimated standard error of B, is VSXX (d) Find a 2-sided 98% confidence interval for the start-up time, i.e., Bo