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The data show the bug chirps per minute at different temperatures. Find the regression equation, letting the first variable be the independent (x) variable. Find the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predicted value? Chirps in 1 min 793 752 989 1218 962 768 . Temperature (F) 68.8 83.6 68.8 94.1 74.5 65.7 GOOD What is the regression equation? y=0 (Round the X-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.) Simple linear regression results: Dependent Variable: Temperature (F) Independent Variable: Chirps in 1 min Temperature (F) = 22.283184 +0.058701367 Chirps in 1n Sample size: 6 R (correlation coefficient) = 0.96832611 R-sq = 0.93765546 Estimate of error standard deviation: 3.051287 Parameter estimates: Parameter Estimate Std. Err. Alternative D 7.0261694 +0 Intercept 22.283184 #0 Slope 0.058701367 0.0075682559 Analysis of variance table for regression model: Source DF SS MS F-stat P-value