A biologist wishes to determine if there is a relationship between temperature and the number of chirps per second of crickets. Below is the data of 15 crickets at various temperatures. The results of a simple linear regression on the data is below. Simple linear regression results: Dependent Variable: y (Temp) Independent Variable: x (Chirp) y (Temp) = 25.232313 + 3.2910941 x (Chirp) Sample size: 15 R (correlation coefficient) = 0.83514379 R-sq = 0.69746514 Estimate of error standard deviation: 3.8285099 Parameter estimates: Parameter Estimate Std. Err. Alternative DF T-Stat P-value Intercept 25.232313 10.060117 #0 13 2.508153 0.0262 Slope 3.2910941 0.60116692 #0 13 5.4745096 0.0001 Analysis of variance table for regression model: Source DF SS MS F-stat P-value Model 1 439.28866 439.28866 29.970255 0.0001 Error 13 190.54734 14.657488 Total 14 629.836 If the temperature is 90, estimate the number of chirps. 3.291 321.422 19.680 25.232