A study of ants in a certain country returned data on annual rainfall, maximum daily temperature, and number of ant species in 11 study sites. The data from the study was used to estimate the straight-line model relating annual rainfall in millimeters (y) to maximum daily temperature (x). Use the accompanying technology printout to complete parts a and b below. E Click the icon to view the regression analysis technology printout. a. Give the values of SSE, s, and s, shown on the technology printout. SSE =O (Type an integer or a decimal.) (Type an integer or decimal rounded to four decimai piaces as needed.) (Type an integer or decimal rounded to four decimal places as needed.) b. Give a practical interpretation of the value of s. Choose the correct answer below. (Round to the nearest whole number as needed.) A. The prediction error for the average annual rainfall is B. Most (about 95%) of the errors of prediction will fall within C. The mean prediction error is D. No error of prediction will fall more than mm. mm of the least squares line. mm. mm away from the least squares line. O Technology Printout Regression Analysis: Rain versus Temp The regression equation is Rain 295 - 16.3(Temp) Predictor Constant Temp SE Coef 22.54 Coef 0.000 294.54 - 16.340 13.07 2.348 -6.96 0.000 s 17.5524 R-Sq= 84.2% R-Sq(adi) - 82.4% Analysis of Variance Source df MS Regression Residual Error 14745 14745 47.87 0.000 2773 308 Total 10 17518 Print Done