Here is the question. Please read it carefully, especially when it says that x is the number of degrees Fahrenheit by which the temperature "exceeds" 50?.

A wildlife biologist is interested in the relationship between the number of chirps per minute for crickets (y) and temperature (x). Based on the collected data, the least-squares regression line is y-hat =10.53+3.41x, where x is the number of degrees Fahrenheit by which the temperature exceeds 50. Which of the following best describes the meaning of the y-intercept of the least-squares regression line? * 0 When the temperature is 50F, the number of chirps per minute is predicted to be 3.41. When the temperature is 50F, the number of chirps per minute is predicted to be 10.53. When the temperature is 0F, the number of chirps per minute is predicted to be 3.41. When the temperature is 0"F, the number of chirps per minute is predicted to be 10.53. For every 1F increase in temperature, the number of chirps per minute is predicted to increase by 10.53. 00006) None of These