A CSU student is studying the chirping behavior of a striped ground cricket. The student hypothesizes that chirping and temperature have a linear relationship. They measured the frequency of chirps at a variety of times and locations, and also measured ground temperatures in Fahrenheit. The frequency of crickets' chirping is expected to be influenced by temperature. The student performed a simple linear regression analysis to investigate a possible linear relationship between frequency of chirps and ground temperature. Use the information below to answer questions a. through d. The estimated line of best fit is: (Response variable) = 0.56 + 0.21*(Predictor variable) When testing H0: 1=0 , p-value=0.00575 R2= 0.8251 The observed values of ground temperature range from 70 to 90 degrees. a. Identify the predictor and response variables Predictor is the slope; response is the residual. Predictor is ground temperature; response is frequency of chirp. Predictor is frequency of chirps; response is ground temperature. Predictor is the residual; response is the slope