Question

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? * When the temperature is 50°F, the number of chirps per minute is predicted to be 3.41. When the temperature is 50°F, the number of chirps per minute is predicted to be 10.53. When the temperature is 0°F, 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 1°F increase in temperature, the number of chirps per minute is predicted to increase by 10.53. None of These

          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? *
When the temperature is 50°F, the number of chirps per minute is predicted to be 3.41.
When the temperature is 50°F, the number of chirps per minute is predicted to be 10.53.
When the temperature is 0°F, 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 1°F increase in temperature, the number of chirps per minute is predicted to increase by 10.53.
None of These

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? *
When the temperature is 50°F, the number of chirps per minute is predicted to be 3.41.
When the temperature is 50°F, the number of chirps per minute is predicted to be 10.53.
When the temperature is 0°F, 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 1°F increase in temperature, the number of chirps per minute is predicted to increase by 10.53.
None of These

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